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All Journal Indonesian Journal of Geography Jurnal Ilmu Komputer dan Informasi Jupiter Jurnal Informatika dan Teknik Elektro Terapan SemanTIK : Teknik Informasi Jurnal Sumberdaya Akuatik Indopasifik JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal ULTIMA Computing STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Journal of Innovation and Future Technology (IFTECH) Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Mnemonic Community Development Journal: Jurnal Pengabdian Masyarakat Reswara: Jurnal Pengabdian Kepada Masyarakat Community Empowerment Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Media Informasi Teknologi Journal of Information Systems and Technology (JISTech) Mekongga: Jurnal Pengabdian Masyarakat TENANG : Teknologi, Edukasi, dan Pengabdian Multidisiplin Nusantara Gemilang Media of Computer Science Jurnal Pusat Kolaborasi Pengabdian Kepada Masyarakat JROCK (Journal Research on Computing Knowledge) Jurnal Sistem Informasi dan Teknologi Informasi
Mutmainnah Muchtar
Universitas Sembilanbelas November Kolaka
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering 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 Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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A WEB BASED 8-PUZZLE EDUCATIONAL GAME FOR RECOGNIZING SULAWESI’S ENDEMIC ANIMALS USING THE BFS ALGORITHM Muchtar, Mutmainnah; Wellem, Karmila Alamsyah
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3S1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3S1.8092

Abstract

The advancement of AI (artificial intelligence) has provided new opportunities to enhance learning through interactive digital media. This study presents the development of a web based 8-Puzzle educational game designed to introduce Sulawesi’s endemic animals using the BFS (Breadth First Search) algorithm. The system was developed using HTML, CSS, and JavaScript, and tested in a web browser environment on Windows 11. The waterfall method was applied during system development. Black-box testing ensured that all functions, such as shuffle, reset, navigation, and information display, operated correctly. Performance evaluation was carried out on 12 puzzle configurations, measuring solution steps, nodes expanded, and execution time. The results show that the BFS algorithm effectively solved all puzzles with optimal accuracy, producing solution times ranging from 1 ms to 140 ms depending on puzzle complexity. This research demonstrates how AI algorithms can be integrated into educational games to promote both problem solving skills and environmental awareness.
Pengelompokan Data Pertumbuhan dan Kontribusi Ekonomi Indonesia Menurut Provinsi Menggunakan Metode K-Means Clustering Maulidiah, Rizka; Muchtar, Mutmainnah; Fitri, Nurul Aisyah; Asriani, Ika; Yasmine, Mutiara Putri
Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Vol. 6 No. 2 (2023): J-SISKO TECH EDISI JULI
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jsk.v6i2.7769

Abstract

Since the Covid-19 pandemic in recent years, several countries have been preoccupied with how to break the chain of the spread of the virus, including Indonesia, whose government policies are considered contradictory in efforts to improve the economy in Indonesia so that the economy has decreased in many regions in Indonesia. The importance of restoring the regional economy in order to improve people's welfare requires the government to be able to pay more attention to the region. to group the economic growth and economic contribution of Indonesian cities using data mining techniques with the K-Means Clustering algorithm using rapid miner tools. This research will classify into 3 clusters, high, medium, and low clusters. The results obtained for Indonesia's economic growth resulted in 2 provinces for high clusters, 1 low cluster, and 31 provinces for medium clusters. For the economic contribution of high clusters are 3 provinces, low clusters are 24 provinces, and medium clusters are 7 provinces. This method is considered to work well on the object of this research data.
PENERAPAN METODE NAÏVE BAYES DALAM KLASIFIKASI KESEGARAN IKAN BERDASARKAN WARNA PADA CITRA AREA MATA Muchtar, Mutmainnah; Pasrun, Yuwanda Purnamasari; Rasyid, Rasmiati; Miftachurohmah, Nisa; Mardiawati, Mardiawati
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i1.3879

Abstract

As a maritime nation, fish is a staple in the Indonesian diet, rich in nutrition and a crucial protein source. It is imperative to maintain the freshness of fish to ensure the quality of fish production. However, the practice of mixing fresh and non-fresh fish poses a serious threat to consumer health and diminishes the overall quality of fish production. Therefore, the development of an automated and efficient method is necessary to distinguish between fresh and non-fresh fish. This research proposes the application of the Naïve Bayes method in classifying fish freshness based on color analysis in the eye area image. This approach involves the extraction of entropy features after segmenting fish images using the RGB and YCbCr color models. A total of 40 datasets of fish eye images were used for training and testing the model. The research results indicate that the proposed classification method achieved an accuracy rate of 97.5%. This success signifies the potential of the color analysis method and entropy features in distinguishing levels of fish freshness. These findings contribute to the development of automated techniques for monitoring and processing fish quality in the fisheries industry.
PERBANDINGAN METODE KNN DAN SVM DALAM KLASIFIKASI KEMATANGAN BUAH MANGGA BERDASARKAN CITRA HSV DAN FITUR STATISTIK Muchtar, Mutmainnah; Muchtar, Rafiqah Arjaliyah
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 2 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i2.4010

Abstract

This research compares the classification methods of K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) in identifying the ripeness level of mango fruit based on HSV images and statistical features. A total of 80 mango fruit images were categorized into two classes, namely "ripe" and "unripe" mango, with 40 images each. Testing was conducted using k-cross validation, revealing that KNN achieved an accuracy of 98.75%, while SVM reached 97.5%. KNN demonstrated superior and consistent performance, indicating its effectiveness in mango fruit ripeness classification. The study contributes to the advancement of automated systems for mango fruit processing, leveraging image technology and machine learning to support the agriculture and food industry.
PERANCANGAN SMART TRASH BIN MENGGUNAKAN LOGIKA FUZZY BERBASIS ARDUINO DI SDN 5 MAWASANGKA, BUTON TENGAH Nurjannah, Nurjannah; Muchtar, Mutmainnah; Sarimuddin, Sarimuddin; Sya'ban, Kharis; Karim, Rahmat; Al Jum'ah, Muhammad Na'im
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4358

Abstract

Smart Trash Bin is a technological innovation that integrates sensors and automation systems to enhance waste management efficiency. This study aims to design and implement a Smart Trash Bin using fuzzy logic based on Arduino at SDN 5 Mawasangka, Buton Tengah. In this research, the system utilizes ultrasonic sensors to detect the trash level inside the bin, servo motors to control the automatic lid of the trash bin, and DFPlayer Mini along with a speaker to provide audio notifications to users. Fuzzy logic method is employed to regulate the system's decisions in managing the trash bin operations based on environmental conditions. The study involves the stages of design, fabrication, and system testing in the elementary school environment. The test results indicate that the designed Smart Trash Bin can effectively manage waste with adequate accuracy. It is expected that the implementation of this Smart Trash Bin can help raise awareness of environmental cleanliness within the school and surrounding community
KLASIFIKASI TINGKAT KEMATANGAN CABAI MERAH KERITING MENGGUNAKAN SVM MULTICLASS BERDASARKAN EKSTRAKSI FITUR WARNA Irma, Irma; Muchtar, Mutmainnah; Adawiyah, Rabiah; Sarimuddin, Sarimuddin
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4430

Abstract

The utilization of digital image processing holds significant potential for classifying the ripeness of curly red peppers (Capsicum annuum L.). This study aims to develop an automatic classification method using multiclass Support Vector Machine (SVM) with a linear kernel. Images of peppers, captured using a smartphone camera, were categorized into three classes: ripe, unripe, and semi-ripe. Features such as mean, variance, and range from the RGB color space were extracted for training and testing data. Testing was conducted by dividing the data into training and test sets and employing 10-fold cross-validation. Results demonstrated a classification accuracy of 98.33%. The combination of mean, variance, and range features significantly improved accuracy compared to single features. This research demonstrates the effectiveness of the developed method and its applicability in automated classification systems to support the agricultural sector.
PERBANDINGAN JARAK EUCLIDEAN, CITYBLOCK, MINKOWSKI, CANBERRA, DAN CHEBYSHEV DALAM SISTEM TEMU KEMBALI CITRA BATIK Muchtar, Mutmainnah; Zainuddin, Noorhasanah; Sajiah, Adha Mashur; Ningsi, Nurfitria; Pasrun, Yuwanda Purnamasari
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3S1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3S1.5324

Abstract

Batik is a highly valuable cultural heritage in Indonesia, showcasing a rich diversity of motifs with deep meaning and aesthetics. To enhance the accessibility and utilization of batik collections, an efficient image retrieval system is essential. This study compares distance measurement methods in a batik image retrieval system: Euclidean, Cityblock, Minkowski, Canberra, and Chebyshev, using a combination of color and texture features. The dataset comprises 50 types of batik images. The results show that the Cityblock method achieves the highest Mean Average Precision (MAP) of 97.71, followed by Canberra with MAP 96.87. The Euclidean method also performs well with a MAP of 94.56, while Minkowski and Chebyshev have lower MAP values of 92.93 and 90.89, respectively. Chebyshev experiences the largest MAP drop when images are rotated (5.98), while Cityblock demonstrates the best resistance to rotation with the smallest MAP drop (1.51). This research successfully developed a Content-Based Image Retrieval (CBIR) system with a GUI in MATLAB and suggests integrating the latest image processing and machine learning techniques for further enhancement.
Evaluasi Proposal Program Kreativitas Mahasiswa (PKM) Menggunakan Sistem WP Risnawati; Pasrun, Yuwanda Purnamasari; Iin, Johar Nur; Muchtar, Mutmainnah
Journal Research on Computing Knowledge Vol. 1 No. 1 (2024): November 2024
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The evaluation procedure for Student Creativity Program (PKM) projects necessitates an objective and efficient methodology to analyze several aspects. This project seeks to establish an evaluation system utilizing the Weighted Product (WP) approach to deliver transparent and quantifiable rankings of proposals. The review utilized five primary criteria: thematic relevance, innovation and creativity, technological feasibility, potential impact, and program sustainability, each assigned predetermined weights. Data from ten proposals were evaluated utilizing the WP approach, encompassing the phases of decision matrix normalization, preference value computation, and ranking. The findings indicated that Proposal 4 garnered the highest preference value (4.939), succeeded by Proposal 5 (4.889) and Proposal 2 (4.876), establishing them as the foremost recommendations for funding. The WP technique shown efficacy in improving the efficiency and impartiality of the PKM proposal selection process. This method's implementation can be utilized in other programs with comparable assessment difficulties
Training on the Use of Report Application Based on Ms. Excel with Curriculum 2013 for Teachers of SDN 105 Kendari Sari, Jayanti Yusmah; Pasrun, Yuwanda Purnamasari; Muchtar, Mutmainnah
MEKONGGA: Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2024): November 2024
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mekongga.v1i2.192

Abstract

The implementation of the 2013 Curriculum (K-13) in elementary schools (SD) has brought significant changes to teachers' administrative activities, especially in filling out student report cards, which are now more complex compared to the previous curriculum. To facilitate the process of entering report card grades, teachers were provided with a report card application based on Microsoft Excel. However, at SDN 105 Kendari, most teachers encountered difficulties using the application due to limited technological knowledge, resulting in the report card process often being assisted by the school operator. To address this issue, the Faculty of Information Technology at Universitas Sembilanbelas November Kolaka organized training on the use of the K-13 report card application based on Microsoft Excel for the teachers at SDN 105 Kendari. The training was conducted in person, actively involving participants in each stage. The training covered an introduction to basic Microsoft Excel formulas and detailed use of the K-13 report card application. The results showed that the program ran smoothly and received positive feedback from the participants. It is hoped that the teachers will become more independent and efficient in filling out student report cards.
PELATIHAN WEB PROGRAMMING DI SMAN 06 BOMBANA DALAM RANGKA MENINGKATKAN DAYA SAING SISWA MENGHADAPI DUNIA TEKNOLOGI Zainuddin, Noorhasanah; Pasrun, Yuwanda Purnamasari; Muchtar, Mutmainnah; Rustan, Fathur Rahman; Rasyid, Rasmiati; Ningsi, Nurfitria; Jimsan, Jimsan
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 6 (2024): Vol. 5 No. 6 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i6.24235

Abstract

Kegiatan Pelatihan Web Programming di SMAN 06 Bombana ini bertujuan meningkatkan keterampilan siswa dalam pengembangan web. Pelatihan dilakukan oleh tim dosen dan mahasiswa dari Universitas Sembilanbelas November Kolaka selama empat hari. Kegiatan dilaksanakan dalam bentuk workshop yang melibatkan siswa-siswi SMAN 06 Bombana sebagai peserta. Latar belakang kegiatan ini adalah kebutuhan akan pemahaman mendalam dalam bidang pemrograman web untuk meningkatkan daya saing siswa menghadapi dunia teknologi. Kegiatan terdiri dari empat sesi, mencakup konsep dasar web programming, praktik langsung menggunakan XAMPP, dan penerapan bahasa pemrograman PHP dan JavaScript. Setiap sesi berdurasi 2,5 jam, memberikan ruang bagi interaksi intensif antara tim dosen dan siswa. Selain itu, laporan mencatat partisipasi aktif siswa dan antusiasme mereka dalam mengaplikasikan pengetahuan yang diperoleh. Keberlanjutan program diusulkan melalui pemantauan siswa, pengembangan proyek kolaboratif, dan pemberdayaan guru sebagai fasilitator pembelajaran berkelanjutan. Keberhasilan pelatihan ini tercermin dalam peningkatan keterampilan web programming siswa yang dapat menjadi pondasi yang kuat untuk pengembangan potensi teknologi mereka di masa depan.
Co-Authors Abdul Jalil Abdul Malik Agus Zainal Arifin Aisyah, Wa Ode Nur Al Jum'ah, Muhammad Na'im alders paliling Andi Tenri Sumpala, Andi Tenri Andi, Ilham Annisyah Januarti Arjaliyah Muchtar, Rafiqah Asni Asni Asriani, Ika Chastine Fatichah Dirman ENDRI ENDRI Fardian, Fardian Fathur Rahman Rustan Fitra, Ramad Arya Fitri, Nurul Aisyah Hairani Idrus, Sitti Hamid Wijaya Hasidu, La Ode Abdul Fajar Hasmawati Hasmawati Ika Purwanti Ningrum Ilham Antariksa Tasabaramo Indar Ismail Jamaluddin Irma Irma Ismail, Rima Ruktiari Jaya, La Ode Muhammad Golok Jaya, Laode Muhammad Golok Jayanti Yusmah Sari Jayawarsa, A.A. Ketut Jimsan Jimsan Johar Nur Iin Jumadil Nangi Karmila Alam Syah Wellem Kasim, Ma'ruf La Ode Hasnuddin S. Sagala La Ode Ichlas Syahrullah Yunus Laili Cahyani Lalang Lalang Luh Putu Ratna Sundari Mardiawati Mardiawati Mardiawati Mardiawati, Mardiawati Maulana, Sahrul Maulidiah, Rizka Miftachurohmah, Nisa Muchtar, Rafiqah Arjaliyah Muh. Na’im Al Jum’ah Muhammad Syaiful Muliyadi Muliyadi Muliyadi Nanik Suciati Nisa Miftachurohmah Noorhasanah Zainuddin Nur Fajriah Muchlis Nur Fajriah Muchlis, Nur Fajriah Nurfinasari Nurfinasari Nurfitria Ningsi Nurjannah Nurjannah Phradiansah ., Phradiansah Rabiah Adawiyah, Rabiah Rafiqah Arjaliyah Muchtar Rahmat Karim Rasmiati Rasyid Rima Ruktiari Riska Risnawati Rizal Adi Saputra Sabi, Musini Sajiah, Adha Mashur Sarimuddin Sarimuddin, Sarimuddin Suharsono Bantun Sunyanti Sunyanti, Sunyanti Sutardi Sutardi Sutoyo, Muhammad Nurtanzis Sya'ban, Kharis Syaban, Kharis Utomo, Puji Prio Yasmine, Mutiara Putri Yuandi, Intan Anuggrah Yuwanda Purnamasari Pasrun