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All Journal Jurnal Sains Materi Indonesia JOURNAL OF APPLIED INFORMATICS AND COMPUTING Communications in Science and Technology Jurnal Informatika Universitas Pamulang INTECOMS: Journal of Information Technology and Computer Science JSiI (Jurnal Sistem Informasi) Indonesian Physical Review Building of Informatics, Technology and Science Infotekmesin Piston: Journal of Technical Engineering Journal of Innovation and Future Technology (IFTECH) Jurnal Sistem Komputer & Kecerdasan Buatan Buletin LOUPE (Laporan Umum Penelitian) Journal of Applied Sciences and Advanced Technology Indonesian Journal of Computing, Engineering, and Design Jurnal Pengendalian Pencemaran Lingkungan (JPPL) Jurnal Teknologi Informatika dan Komputer Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal Mesin Nusantara Jurnal Pengabdian kepada Masyarakat Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia International Journal of Engagement and Empowerment (IJE2) JURNAL ILMIAH GLOBAL EDUCATION Jurnal Penelitian Inovatif Journal Of Sustainable Research In Management Of Agroindustry (SURIMI) ACROPORA: Jurnal Ilmu Kelautan dan Perikanan Papua JAMAIKA: Jurnal Abdi Masyarakat Abdi Jurnal Publikasi Jurnal Teknologi Pangan dan Industri Perkebunan Metalurgi OKTAL : Jurnal Ilmu Komputer dan Sains Hikmayo: Jurnal Pengabdian Masyarakat Jurnal Ilmiah Multidisiplin Indonesia MULTIPLE: Journal of Global and Multidisciplinary JARI Acta Solum Food and Agro-industry (FAGI) Journal Jurnal Ilmu Komputer
Murni Handayani
Universitas Pamulang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Integrasi Budidaya Tanaman Kangkung (Ipomea Aquatica Forsk) dan Ikan Nila Menggunakan Internet of Things Handayani, Murni; Sumardiono, Arif; Witriansyah, Khoeruddin; Fadillah
Infotekmesin Vol 15 No 1 (2024): Infotekmesin: Januari, 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i1.2160

Abstract

Aquaponics is an application of a sustainable agricultural system by integrating the cultivation of plants and fish at one time. Water availability in plant commodities and water is optimized in aquaponic cultivation systems. Several parameters that can determine the level of success of cultivating an aquaponic system include water pH, water temperature, TDS, and water level. The process of monitoring and controlling several important parameters in cultivation can be done conventionally, but it is less effective and efficient because the cultivator has to check and measure the parameters every time. Therefore, as time goes by, and technology becomes more sophisticated, a control and monitoring system is designed. several parameters such as water pH, water temperature, TDS, and water level based on the Internet of Things (IoT) to support the success of the aquaponics system by monitoring environmental conditions using a laptop/smartphone at that time. Based on the test results, it was found that aquaponics in an indoor environment is successful - the air conditioner has a water temperature below 250C, the water pH shows 7pH and the average nutrient in the water shows 214.5 ppm. Based on this, kale plants in the stem grow quickly while leaf growth is very stunted. At temperatures smaller than 25 0C pomfret fish only survive for 2 weeks but tilapia fish can survive and not die in these environmental conditions. The length of the tilapia fish for 6 weeks has increased by 5 cm from its original length
Analisis Kepatuhan GMP pada UMKM Pengolah Sambal Ikan Tuna Asah Asih Cilacap: Analysis of GMP Compliance in UMKM Processing Asah Asih Tuna Fish Sauce in Cilacap Muji Mulyani; Latifatul Khusna; Siti Khoirunnisa; Murni Handayani; Sari Widya Utami
Journal of Sustainable Research In Management of Agroindustry (SURIMI) Vol. 4 No. 2 (2024): SURIMI : Oktober 2024
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/surimi.v4iII.2324

Abstract

UMKM memiliki peranan terhadap ekonomi pangan di Indonesia. GMP berperan penting dalam keamanan dan kualitas produk pangan, oleh karena itu artikel ini bertujuan untuk mengetahui sejauh mana penerapan GMP telah dilakukan oleh UMKM Asah Asih terhadap produk sambal ikan tuna untuk memastikan produk tetap dalam keadaan aman dan berkualitas hingga tangan konsumen. Penelitian ini menggunakan 2 teknik pengumpulan data yaitu data primer dan sekunder. Hasil dari penelitian ini berupa dokumen audit GMP dan penerapannya terhadap keamanan dan kualitas produk sambal ikan tuna yang mengacu pada peraturan BPOM No HK.03.1.23.04.12.2206 tahun 2012 tentang CPPOB dan menunjukkan bahwa terdapat beberapa aspek yang belum memenuhi sehingga perlu dilakukan evaluasi dan perbaikan untuk meningkatkan keamanan dan kualitas produk.
Pengaruh Penambahan Wijen Sangrai Terhadap Karakteristik Fisikokimia Pada Mayones Vegetarian: The Effect Of Adding Roasted Sesame On The Physicochemical Characteristics Of Vegetarian Mayonnaise putri, raekhanrahmah; Handayani, Murni; Utami, Sari Widya; kristiningsih, ari
Journal of Sustainable Research In Management of Agroindustry (SURIMI) Vol. 4 No. 2 (2024): SURIMI : Oktober 2024
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/surimi.v4i2.2466

Abstract

Mayonnaise is a mixture of oil in water with egg yolk as a binding agent. However, egg yolk and palm oil have a content that is not good for health, so other alternative ingredients are needed to make it healthier. Soybean extract and oil can replace egg yolk and palm oil as the main ingredients. Soybean extract has a "langu" aroma that not everyone likes so roasted sesame is added to reduce the aroma. This study aims to obtain the best formulation and determine the physicochemical characteristics and the level of panelists' preference for vegetarian mayonnaise. This study used a Completely Randomized Design (CRD) with roasted sesame addition factors of 0%, 10%, 20%, and 30% with three replications each. The physicochemical analysis used to determine the physicochemical content used the thermogravimetric, Soxhlet, and Kjeldahl methods, and used a viscometer and hedonic analysis to deteassess level of panelists' preference for vegetarian mayonnaise samples. The results showed that the addition of various concentrations of roasted sesame had a significant effect on the physicochemical characteristics of vegetarian mayonnaise. The water content ranges from 29.68% - 35.64%, the fat content ranges from 41.73% - 51.74%, the protein content ranges from 2.07% - 5.73%, and the viscosity level ranges from 1,684.37 MPaS - 2,045.50 MPaS. From this study, the results showed that the best formulation and the most preferred ratio of roasted sesame were at the 20% treatment level. Keywords: mayonnaise, vegetarian, soybeans, sesame, physicochemical
Perbandingan Efisiensi Metode Simple Additive Weighting (SAW) dan Weighted Product (WP) Dalam Sistem Penilaian Kinerja Guru Honorer Maulana, Romdon; Handayani, Murni; Anggai, Sajarwo
Jurnal Ilmu Komputer Vol 2 No 1 (2024): Jurnal Ilmu Komputer (Edisi Juli 2024)
Publisher : Universitas Pamulang

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Abstract

The teacher is the key to the success of the quality of education in this country with the main task of educating, teaching, guiding, directing, training, assessing, and evaluating students in early childhood education through formal education, basic education and secondary education. Teachers with honorary teacher status are the beginning of a career path for a teacher. assessment of teacher performance as an illustration of the results of the performance and teaching ability of a teacher. In addition to encouraging motivation, dedication, loyalty, professionalism, and improving the quality of education, teacher performance assessments are also used as a reference, and recommendation for raising the teacher's career path. The methods used in teacher performance assessment research or with similar objects are the SAW method, WP method, Fuzzy Logic, Analytical Hierarchy Process (AHP) method, Decision Tree method, Composite Performance Index (CPI) method and TOPSIS method. However, there has been no research comparing the SAW method with the WP method in terms of the efficiency of the calculation process time, so it is not yet known which method is more efficient in terms of calculation process time in the teacher performance appraisal system, so in this research, we will compare the SAW method with the WP method in honorary teacher performance assessment system, so that it can be seen which method is more efficient in terms of the calculation process for honorary teacher performance assessment.
Cyberattack Detection on IoT Devices in the Context of Large Data Volumes and Network Complexity: Cyberattack Detection on IoT Devices in the Context of Large Data Volumes and Network Complexity Zikrullah, Mochamad Fachrudin; Dr TUKIYAT, M.Si; Dr MURNI HANDAYANI, S.Si., M.Sc
Jurnal Ilmu Komputer Vol 3 No 1 (2025): Jurnal Ilmu Komputer (Edisi Juli 2025)
Publisher : Universitas Pamulang

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Abstract

The Internet of Things (IoT) has become an essential part of everyday life, enabling devices to communicate and work together seamlessly, boosting productivity, efficiency, and convenience across various domains such as healthcare, transportation, manufacturing, and smart homes. However, as IoT adoption grows rapidly, so do the challenges related to cybersecurity. The vast amounts of data generated by these devices and the increasing complexity of IoT networks create vulnerabilities that cybercriminals are quick to exploit. Factors like the diversity of IoT devices, differing communication protocols, and inconsistent security standards only add to the problem. Cyberattacks such as Distributed Denial of Service (DDoS), malware, and data sniffing are becoming increasingly sophisticated, threatening the security and functionality of IoT ecosystems. To combat these issues, it is crucial to develop robust and adaptive methods that can detect and mitigate these threats in real-time. This paper reviews current methods for detecting cyberattacks on IoT devices, with a focus on integrating machine learning, data analytics, and blockchain technologies. Traditional rule-based systems, while effective against known threats, struggle to keep up with the complexity and ever-evolving nature of modern cyberattacks. Machine learning techniques, especially deep learning models like Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks, have shown exceptional capabilities in analyzing large datasets to identify patterns and anomalies. Additionally, blockchain technology offers enhanced security through its decentralized and tamper-resistant nature, ensuring data integrity across IoT networks. The study explores IoT-related threats, discusses methodologies to counter them, and presents case studies to highlight the practical application of these advanced techniques. It emphasizes the need for scalable, efficient, and adaptable solutions to secure IoT ecosystems against the growing sophistication of cyber threats.
Analisis Transaksi Pembayaran Tiket Kereta Api (KAI) Dengan Pembayaran Via Bank Menggunakan Metode K-Nearest Neighbors Dan Naïve Bayes Studi kasus PT XYZ Rizki Agustian; Murni Handayani; Abu Khalid Rivai
Jurnal Ilmu Komputer Vol 3 No 1 (2025): Jurnal Ilmu Komputer (Edisi Juli 2025)
Publisher : Universitas Pamulang

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Abstract

In the digital era, train ticket payment patterns are increasingly complex with the increasing use of bank payment methods. PT XYZ, as a train ticket service provider, faces challenges in understanding customer behavior based on available transaction data. The main problem in this study is how to effectively group customer data based on their transaction characteristics to support service improvement and marketing strategies. This study implements two data mining classification algorithms, namely K-Nearest Neighbors (KNN) and Naïve Bayes, to analyze train ticket payment transaction patterns. Processing is carried out through the RapidMiner application, with an approach based on historical transaction data collected and processed using Microsoft Excel. The research methodology includes the stages of data collection, preprocessing, classification modeling, and model performance evaluation based on accuracy, precision, and recall metrics. The results show that the Naïve Bayes algorithm has superior performance compared to KNN, with an accuracy of 99.10%, a precision of 99.07%, and a recall of 99.14%. This indicates that Naïve Bayes is more effective in classifying customer transaction data. Companies can implement the Naïve Bayes algorithm in internal analytics systems to support data-driven decision-making, particularly in marketing strategies and customer service personalization
Analisis Prediksi Penerima Bantuan Bea Study Menggunakan Algoritma Id3, Naïve Bayes Dan K-Nearest Neighbor (Studi Kasus Pada Lembaga Amil Zakat Rydha) Muhamad Sibli; Taswanda Taryo; Murni Handayani
Jurnal Ilmu Komputer Vol 3 No 1 (2025): Jurnal Ilmu Komputer (Edisi Juli 2025)
Publisher : Universitas Pamulang

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Abstract

The RYDHA Amil Zakat Institution has not yet implemented a data-driven predictive system to objectively determine B-Best scholarship recipients, leaving the selection process manual and prone to bias. This study aims to compare the performance of ID3, Naïve Bayes, and K-Nearest Neighbors (KNN) algorithms in classifying scholarship eligibility. Primary data were obtained from the 2024 B-Best applicants’ records, including demographic, socio-economic, academic, and supporting documents, while secondary data consisted of selection guidelines and internal reports, collected through interviews, documentation, and observation. Data analysis employed the three algorithms with evaluation using the Confusion Matrix and ROC Curve. The results show that KNN achieved the best performance with 96.3% accuracy, 0.958 AUC, 0.944 F1-score, 0.944 precision, and 0.944 recall, thus recommended as the predictive model to support a more objective and accurate scholarship selection system.
Pengembangan Material Maju Superkonduktor Mg-B dengan Penambahan Graphene Oxide melalui Proses Powder in Sealed Tube Mahendra, Brillian Ardy; Herbirowo, Satrio; Saefuloh, Iman; Handayani, Murni
Jurnal Mesin Nusantara Vol 5 No 1 (2022): Jurnal Mesin Nusantara
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jmn.v5i1.17894

Abstract

MgB2 is a high possible superconducting material that can be applied quite practically with the functionalization of Mg-B materials. Material development is carried out by adding carbon, namely Graphene Oxide (GO), which is a single atom layered material. The Powder in Sealed Tube (PIST) method is practically used to reduce oxidation. This study aims to analyze the effect of GO material doped with the PIST method made from MgB2 with a sintering temperature of 800℃ for 2 hours on its superconductivity, compound formation, and microstructure. The manufacturing process is carried out in a 1:2 ratio where 98% purity Mg is mixed with Boron, which is then added with 0, 0.3 and 3% wt GO doping, all ingredients are mixed stoichiometrically. The material that has been put in a tube and compacted sufficiently into SS316L which has been closed on one side to enter the powder, is then compacted with high pressure up to 1000 MPa. The material is sintered at a temperature of 800℃ for 2 hours which is then carried out by cooling in the furnace and taking bulk samples. The XRD results showed the formation of the dominant MgB2 phase and the formation of an impurity phase in the form of MgO and obtained a decent crystal size of 295 which was owned by the 3%wt GO PIST MgB2 sample. The SEM test shows the forms of formation (agglomeration) in each sample, with the presence of several axes. Cryogenic testing shows that with doping there is a movement of critical temperature to a lower direction where MgB2 0%wt GO has a TcOnset value of 39.4 K and a TcZero of 38.7 K, while MgB2 3%wt GO has a TcOnset value of 39.6 K and TcZero of 38 K.
Utilization of Coconut Shells as a Source of Graphene Nanosheets Fe/N-GNS for Environmentally Friendly Primary Battery Electrodes Giyanto; Affi, Jon; Gunawarman; Handayani, Murni; Yetri, Yuli
Piston: Journal of Technical Engineering Vol. 9 No. 2 (2026)
Publisher : Program Studi Teknik Mesin Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/pjte.v9i2.57488

Abstract

The research on the performance of carbon (C)/d-orbital metals (graphite/graphene, graphene/N-graphene, graphite/Fe-graphene, graphite/Fe-N-graphene, and graphene/Fe-N-graphene) in primary battery electrode systems was carried out using a simple technology by mixing coconut shell powder with N and Fe. The purpose of this study was to determine the preparation method of Fe/GNS and Fe/N-GNS electrodes and to evaluate the performance of the electrolyte on electron distribution in Fe/GNS and Fe/N-GNS electrodes as primary battery anodes based on electrical conductivity values. This research was conducted as a laboratory experimental study. GNS and N-GNS were synthesized using a modified Hummers method, while Fe/GNS and Fe/N-GNS electrodes were synthesized using the impregnation method. GNS, N-GNS, Fe/GNS, and Fe/N-GNS after electrolyte combination were characterized using SEM–EDX and a multimeter, respectively. The SEM–EDX results at 170 °C and 500–600 °C showed a folded and wrinkled graphene structure with dispersed Fe (5.3 wt% by EDX), dominated by C and O. The addition of Fe–NH₃ acted as a catalyst to form more regularly structured graphite. The DHL test showed the highest electrical conductivity (~51,400 at 40 V) for Fe-N-GNS samples synthesized at 170 °C and 600 °C, which were identified as the most optimal synthesis conditions.
Synthesis of Graphene-Like Carbon from Coconut Shell and Electrical Conductivity Properties Rohmat, Nur; Affi, Jon; Gunawarman; Handayani, Murni; Yetri, Yuli
Piston: Journal of Technical Engineering Vol. 9 No. 2 (2026)
Publisher : Program Studi Teknik Mesin Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/pjte.v9i2.57489

Abstract

Demand for batteries continues to increase in line with the growth of electric vehicles, while the availability of lithium in nature is limited. One alternative is the use of renewable natural materials, such as coconut shells, to produce functional carbon materials. This study aims to synthesize graphene-like carbon (GLC) from coconut shells using pyrolysis and sonication methods. The process was carried out through drying at 150–200 °C and pyrolysis at 700 °C. XRD characterization showed main peaks at 2θ ≈ 23.11° and 43.75° (150 °C/700 °C), and 23.15° and 43.38° (200 °C/700 °C), with an interlayer spacing of 0.35 nm and a shift in the C (002) peak from pure graphite, indicating the formation of nanosized graphene layers. FTIR analysis confirmed the presence of O–H, aromatic C=C, C=O, and C–O groups, indicating a hexagonal carbon framework with oxygen functionality on the surface. The Raman spectrum showed ID/IG ratios of 0.84 and 0.83, indicating structural disorder while still consistent with graphene-like characteristics. Conductivity tests showed relatively stable electrical conductivity with gradual electron energy loss at small current increases, allowing better control of electron mobility.
Co-Authors Abu Khalid Rivai Ahmad Gunawan Wibisono Ahmad Musyafa Ahmad Musyafa Ahmad Randy Akhmad Rinaldy Kurnia Al Habib, Irsyad Allam Ramzy Allam Ramzy Amartya Natayu Anggai, Sajarwo Annisa Yuliana Angeline Any Kurniawati, Any Ari Kristiningsih Arken Abdullah Arrozi , Ubed Sonai Fahruddin Arsita Nur Rizkia Putri Arya Adhyaksa Waskita Astuti, Wijayanti Dwi Aza Fauziana, Noer Bambang Wisnu Widagdo Budi Hadisujoto Charlene Tiara Rehueliah Pingak Choirunnisa Firdaus Ivana Da, Oh Wen Dahlan Hidayat Dawam Agung Pribadi Destiny, Keysi Devain Dewanto, Hizkia Alpha Dewi Sondari Djukardi Kurniawan Dr TUKIYAT, M.Si Dwi, Sadina Sahitya Dwityaningsih, Rosita Eko Sulistiyono Erland Sumantri Evi Triwulandari Evila Purwanti Sri Rahayu, Theresia Fadillah Fajar Hidayanto, Fajar Felix Firdiyono Feni Aryanti Fitri Khoerunnisa Giyanto Gunawarman Hartanto Heryandi Suradiradja, Kahfi Hesti Rahayuningsih Hizam, Fadli Iasya, Yurin Karunia Apsha Albaina Ilma Fadlilah Ipung Saputra Irnanda, Istifhamy Isykariman Biridlwanillah Iwan Dwi Antoro Iwan Setiawan Iwan Setiawan Jatmoko Awali Joko Setia Pribadi Jon Affi, Jon Kanim Kristiningsih, Ari Kushendarsyah Saptaji Latifatul Khusna Lutfi Syafirullah Mahendra, Brillian Ardy Makhsun Makhsun Makhsun Mardiyana Mardiyana Mardiyana Mardiyana Maulana, Romdon Mila Prametha, Novika Mochamad Adhari Adiguna Moh. Triyana Abbas Mohammad Nurhilal Mohammad Rayhan Afdillah Muhamad Sibli Muhammad Rizky Fadillah Muji Mulyani Mustofa, Rizki Nabila, Najwa Natasya Arifah Natasya Arifah Nikolas Krisma Hadi Fernandez Nur Fuat, Muhamad Nur Indah Wardani Nur Rohmat Nuraini Sitepu Nuraini Sitepu Nurhayati, Mita Nurlinda Ayu Triwuri Oto Prasadi putri, raekhanrahmah Putri, Restiani Alia Raekhan Rahmah Putri Rafli Rafli Rafli Rafli Ramses Maur Ragaventrand Reno Saeprani Retno Tri Purnamasari Rifqi Fakhri Yogi Syafruddin Rizki Agustian Rizki Ahmad Darmawan Rosita Dwityaningsih Rosita, Rosita Dwityaningsih Saefudin Saefudin Saefuloh, Iman Sajarwo Anggai Sajarwo Anggai Salma Maulikhatun Zulfa Santika, Ariel Sari Widya Utami Sari Widya Utami Satrio Herbirowo, Satrio Septian Pratama Siti Cici Carliah Siti Khoirunnisa Slamet Raharjo Slamet Raharjo Sudarno Sudarno Sudarno Wiharjo Sumardiono, Arif Surya, Surya Ariwibowo Syadilla Ega Maharani Taswanda Taryo Taswanda Taryo Tukiyat Tukiyat Tukiyat Tukiyat Tukiyat, Tukiyat Ulikaryani Uliyatunisa Uliyatunisa Uliyatunisa, Uliyatunisa Waskita, Arya Adhyaksa Widuri Indana Saleha Widuri Indana Saleha Witriansyah, Khoeruddin Wittriansyah, Khoeruddin Yessi Permana Yuli Yetri Yunita Triana, Yunita Yunus Yunus Yuswono Yuswono Zain, Rafi Mahmud Zeni Ulma Zikrullah, Mochamad Fachrudin