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All Journal TEKNIK INFORMATIKA Reaktor Mechatronics, Electrical Power, and Vehicular Technology TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Journal of ICT Research and Applications Jurnal Agro Kultivasi JOIV : International Journal on Informatics Visualization Jurnal Sistem dan Manajemen Industri RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JRSI (Jurnal Rekayasa Sistem dan Industri) Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Mitra Manajemen Indonesian Journal of Information System Jurnal Kimia Terapan Indonesia Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JURTEKSI Jurnal Sistem Cerdas Linguistik Indonesia Teknologi Indonesia International Journal of Advances in Data and Information Systems Journal of Data Science and Its Applications Jurnal Instrumentasi Jurnal Teknik Informatika (JUTIF) INVEST : Jurnal Inovasi Bisnis dan Akuntansi Charity : Jurnal Pengabdian Masyarakat Mechanical Engineering for Society and Industry Universitas Muhammadiyah Yogyakarta Undergraduate Conference Proceeding SENTRI: Jurnal Riset Ilmiah Jurnal Ilmiah Teknik Elektro eProceedings of Engineering Eduvest - Journal of Universal Studies SEMNASTERA (Seminar Nasional Teknologi dan Riset Terapan) SmartComp Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Polimesin Scientific Journal of Informatics Rekayasa Mekanika: Jurnal Ilmiah Teknik Mesin AQILA : Acceleration, Quantum, Information Technology and Algorithm Journal Journal of Production, Enterprise, and Industrial Applications IJoICT (International Journal on Information and Communication Technology) ITEJ (Information Technology Engineering Journals)
Fakhrurroja, Hanif
Telkom University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities 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 Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Neuroscience Public Health Social Sciences Transportation

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Innovation Models and Business Concepts as Context for Radical Innovation in Freshwater Fish Trading Applications. Sandy, Muhammad Dwi Hary; Abdurrahman, Lukman; Fakhrurroja , Hanif
eProceedings of Engineering Vol. 12 No. 3 (2025): Juni 2025
Publisher : eProceedings of Engineering

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Abstract

Indonesia is a maritime country with abundant fishsheries resources potential. However, fishsh farmers often face challenges in terms of profisht margins and marketing of their catches. An alternative is needed for fishsh sales activities that are anti-price wars and customeroriented. this is due to the lack of market information, so farmers think it is more e昀케cient to sell their harvest to middlemen or collectors because they don’t need to fishnd customers in the market and incur transportation costs for fishsh delivery. However, because of this, the price of fishsh sold will become more expensive with each transfer to a third party, and the profisht margin for fishsh farmers remains small. Based on these problems, the author aims to provide a solution for fishsh farmers by designing an application for fishsh trading transactions. this research utilizes a Design thinking approach simplifished into the stages of the RSM (Recognize, Scrutinize, Materialize) Design Approach in application development. this model is aligned with addressing issues such as low profisht margins and the challenges of independent sales. It also emphasizes the need for collaboration in sales management, such as the existence of digital fishsh cooperatives. Keywords : eFishery Fresh, Radical innovation, RSM model
Population of P-solubilizer bacteria, available P, P Uptake and chili yield affected by bioameliorants and nutrient Fitriatin, Betty Natalie; Dita, Limbong Agatha Dita; Fauziah, Nicky Oktav Fauziah; Simarmata, Tualar Simarmata; Fakhrurroja, Hanif Fakhrurroja
Jurnal AGRO Vol. 12 No. 1 (2025)
Publisher : Jurusan Agroteknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/j.agro.44502

Abstract

The consumption of red chili (Capsicum annum L.) increased annually, requiring higher productivity. However, this is not supported by optimal soil fertility which has a low nutrient content. This research aimed to examine the interaction between bioameliorant dose (B) and nutrient solution application interval (F) on phosphate solubilizing bacteria (PSB), available P, P uptake, fruit weight per plant, and fruit weight per fruit. The research was conducted using a Factorial Randomized Block Design with two factors and three replications (bioamelioran dosage: 0, 3, 6 t ha-1) and nutrient solution application interval: every one, three, and five days. The results showed an interaction effect on fruit weight with the best treatment being a bioameliorant dose of 3 t ha-1 and a nutrient solution interval once a day. The bioameliorant increased available P and the nutrient solution interval had influenced on soil available P and fruit weight per plant. Application of a bioameliorant dose of 3 t ha-1 and nutrient solution interval once a day produced the highest yield of chili.   ABSTRAK Konsumsi cabai merah (Capsicum annum L.) meningkat setiap tahunnya, sehingga membutuhkan produktivitas yang lebih tinggi. Namun, hal ini tidak didukung oleh kesuburan tanah yang optimal serta memiliki kandungan nutrisi yang rendah. Penelitian ini bertujuan untuk mengetahui interaksi antara dosis bioamelioran (B) dan interval pemberian larutan hara (F) terhadap bakteri pelarut fosfat (BPF), P-tersedia, serapan P, bobot buah per tanaman, dan bobot buah per buah. Penelitian dilakukan menggunakan Rancangan Acak Kelompok Faktorial dengan dua faktor dan tiga ulangan (dosis bioamelioran: 0, 3, 6 t ha-1) dan interval pemberian larutan hara: setiap satu, tiga, dan lima hari. Hasil penelitian menunjukkan adanya pengaruh interaksi terhadap rerata berat buah, dengan perlakuan terbaik adalah dosis bioamelioran 3 t ha-1 dan interval pemberian larutan hara satu kali sehari. Pemberian bioamelioran mampu meningkatkan P-tersedia. Interval pemberian larutan hara mempengaruhi kandungan P-tersedia tanah dan bobot buah per tanaman. Aplikasi bioamelioran dengan 3 t ha-1 dan interval pemberian larutan hara satu kali sehari menghasilkan hasil cabai merah tertinggi.   Kata kunci: Cabai Merah, Mikroba Menguntungkan, Pembenah Tanah, Unsur Hara
Innovative smart showcase design for indoors and eco-friendly hydroponics Exaudi, Kemahyanto; Sembiring, Sarmayanta; Putra Perdana Prasetyo, Aditya; Stiawan, Deris; Fakhrurroja, Hanif; Budiarto, Rahmat
Bulletin of Electrical Engineering and Informatics Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i4.8353

Abstract

Hydroponics is a unique and fascinating farming technique for producing plants and vegetables. Without having to use a large area of land, people can easily apply the technique to produce fresh and hygienic vegetables. However, the technique cannot be used in apartment environment due to the limited sunlight. Thus, this study introduces an innovative hydroponic system, called as hydroponics smart showcase system that can be implemented indoors, even in the presence of minimal sunlight, and can be monitored online by users. The proposed system consists of a net pot of 4-5 hydroponics cups with a diameter of 50 mm, air temperature and humidity sensors, water level sensors, ultraviolet (UV) lights, indicator displays, and DC fans. Experimental results show that the development of innovative hydroponics using smart showcase has succeeded in stabilizing the air in the showcase according to the specified references. Moreover, UV light intensity settings for photosynthesis can be applied remotely with duration of 24 hours.
Analisis Sentimen Pada Media Sosial Twitter Menggunakan Support Vector Machine (SVM) Terhadap Kata Kunci #TheLinkinJKT Asriana, Asriana; Pratiwi, Oktariani Nurul; Fakhrurroja, Hanif
eProceedings of Engineering Vol. 11 No. 4 (2024): Agustus 2024
Publisher : eProceedings of Engineering

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Abstract

Abstrak — Pada penelitian ini dilakukan sentimen analisis terhadap tweetss terkait #TheLinkinJKT mengenai segi <SistemTicketing= dan <Kepuasan Event= dengan kategori sentimen label positif dan negatif. Sentimen analisis dilakukan menggunakanpendekatan Machine Learning dengan algoritma Support VectorMachine (SVM). Terdapat 1.331 jumlah data keseluruhan pada <Sistem Ticketing= dengan 650 tweetss dengan label positif dan705 tweetss dengan label negatif. Sedangkan pada <Kepuasan Event= terdapat 4.400 jumlah data keseluruhan dengan 1.995dengan label positif dan 2.402 dengan label negatif, pelabelan datadilakukan secara manual. Berdasarkan hasil analisismenggunakan SVM, akurasi tertinggi pada <Sistem Ticketing=dengan rasio split 70:30 sebesar 0,737 atau 73% dan akurasitertinggi pada <Kepuasan Event= dengan rasio split 80:20 sebesar0,743 atau 74%. Adapun hasil evaluasi kinerja modelmenggunakan K-Fold Cross Validation pada <Sistem Ticketing=dengan hasil accuracy sebesar 0,74, precision sebesar 0,71, recallsebesar 0,71 dan f1- score sebesar 0,71, sedangkan pada<Kepuasan Event= hasil accuracy sebesar 0,74, precision sebesar0,82, recall sebesar 0,57, dan f1-score sebesar 0,68. Hasil darianalisis ini diharapkan dapat memberikan digunakan sebagaifeedback bagi pihak terkait untuk meningkatkan kualitas layananyang diberikan dari sisi sistem ticketing dan kepuasan konsumenterhadap event yang diselenggarakan oleh pihak promotorDyandra Global Edutainment untuk acara-acara berikutnya. Kata kunci— Analisis Sentimen, Support Vector Machine, Natural Language Processing
Perancangan Backend Pada Website Investa Menggunakan Metode Iterative Incremental Wijaya, I Made Darma Putra; Al-Anshary , Faishal Mufied; Fakhrurroja, Hanif
eProceedings of Engineering Vol. 11 No. 4 (2024): Agustus 2024
Publisher : eProceedings of Engineering

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Abstract

Abstrak — Perkembangan teknologi informasi berdampaksignifikan pada sektor pertanian di negara berkembang,terutama Indonesia. Sektor ini berkontribusi sebesar 12,62%terhadap Produk Domestik Bruto (PDB) negara danmenciptakan lapangan kerja bagi sekitar 30% angkatan kerjanasional. Lebih dari sekadar penyedia pangan dan bahan bakuindustri, pertanian juga memiliki peran krusial dalam menjagakelestarian lingkungan hidup. Meski begitu, tantanganproduktivitas rendah tetap menjadi isu serius di sektor ini.Terbatasnya modal dan harga jual yang kompetitif menjadihambatan utama bagi para pelaku usaha pertanian. Olehkarena itu, investasi dalam sektor pertanian menjadi kunciuntuk mendorong inovasi dan meningkatkanproduktivitasnya. Penelitian ini bertujuan untuk memberikansolusi dengan merancang platform Investa, sebuah websiteberbasis teknologi yang menghubungkan para petani denganpara investor. Platform ini memanfaatkan metodepengembangan iterative incremental dengan fokus padapengembangan backend API menggunakan frameworkLaravel. Dengan dua iterasi pengembangan, backend websiteInvesta berhasil diciptakan, menyediakan seluruh fungsi yangdiperlukan oleh klien website. Harapannya, Investa mampumenggalvanisasi partisipasi aktif para investor dalammendukung pertumbuhan sektor pertanian. Di sisi lain, parapetani juga diuntungkan dengan akses lebih mudah terhadapmodal yang memadai, sehingga usaha pertanian mereka dapattumbuh dan berkembang secara berkelanjutan. Kata kunci— Investasi, Pertanian, iterative incremental, Laravel
Rancang Bangun Perangkat Flow Meter Reading Analog Konevensional Ramdhani, Fiqri; Aziz, Arif Abdul; Fakhrurroja, Hanif
eProceedings of Engineering Vol. 11 No. 4 (2024): Agustus 2024
Publisher : eProceedings of Engineering

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Abstract

PDAM is a regional company that provides water supply services to all residents of the Indonesian Community in need. PDAM checks the amount of water usage of each customer every month by sending officers to the customer's house to check and record the amount of water usage through the water meter. The water meters used by PDAM are still analog in nature so that customers experience difficulties in reading the amount of water usage [1]. Because water recording is still manual and analog tools. So to help development innovation, the first step is to create a PDAM water usage monitoring system in digital form. Flow Meter Reading is the development of a device that will be used to read analog water meters that measure fluid volumetric flow rates digitally. The use of manual water meters that are still manually recorded by employees will be helped by the presence of Analog Flow Meter Reading devices, Flow Meter Reading device design is carried out. The design is done by making a PCB design using a low power MCU STM32. Keywords-Water, PDAM Customer, Water Meter, Monitoring
Pembuatan Prototipe Casing Pembaca Meter Air Otomatis Menggunakan Metode Reverse Engineering Hakim, Aqil Rahman; Mulyana, Tatang; Fakhrurroja, Hanif
eProceedings of Engineering Vol. 11 No. 4 (2024): Agustus 2024
Publisher : eProceedings of Engineering

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Abstract

Pembaca meter air otomatis merupakan suatu alat yang digunakan untuk mencatat dan mengirimkan data penggunaan air yang tertera pada meter air secara otomatis. Sedangkan casing pembaca meter air otomatis merupakan komponen atau part yang digunakan untuk melindungi komponen yang terdapat di dalam pembaca meter air otomatis. Pembaca meter air ini sendiri terdiri dari komponen casing, komponen sensor dan baterai. PT. XYZ adalah perusahaan manufaktur yang beroperasi di sektor elektronik dan logam, khususnya dalam produksi alat ukur seperti meter air yang ingin membuat pembaca meter air otomatisnya sendiri. Di Indonesia sendiri penggunaan pembaca meter air otomatis masih terbilang jarang. Dikarenakan saat ini, sebagian besar Perusahaan Daerah Air Minum atau PDAM masih melakukan pencatatan meter air secara manual dengan petugas yang harus mendatangi rumah-rumah pelanggan untuk mencatat angka yang tertera pada meter air (Paksi, dkk., 2020). Dalam kasus ini, PT. XYZ membuat komponen sensor pada pembaca meter air otomatis dan membutuhkan casing pembaca meter air otomatis agar dapat sesuai dengan komponen sensor yang telah dibuat dan dapat melindungi komponen sensor dengan baik. Maka dari itu, fokus utama dari kajian ini adalah untuk membantu merancang prototipe casing pembaca meter air otomatis menggunakan metode reverse engineering agar dapat melindungi komponen eletronik yang dibutuhkan oleh pihak PT. XYZ tanpa menghalangi fungsi utama pada komponen tersebut. Kata kunci: PDAM, Casing Pembaca Meter Air OTomatis, Reverse Engineering
The Ensemble Supervised Machine Learning for Credit Scoring Model in Digital Banking Institution Prahastiwi, Narita Ayu; Lubis, Muharman; Fakhrurroja, Hanif
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 2 (2025): July 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i2.37677

Abstract

The digital transformation of the banking industry requires credit scoring systems that are both accurate and adaptable to complex, diverse data. This study aims to develop and evaluate a credit scoring model using ensemble supervised learning to predict credit risk for a consumer loan service (Product X) at Bank XYZ. Ensemble algorithms such as Random Forest, AdaBoost, LightGBM, CatBoost, and XGBoost were compared to a single classification method, Decision Tree. Model performance was assessed using precision, recall, F1-score, and ROC-AUC. The results show that XGBoost outperformed other models, achieving the highest ROC-AUC score of 0.803, indicating strong generalization and low risk of overfitting. SHAP analysis revealed key features influencing the model, including loan tenor, loan amount (plafond), income, and Days Past Due (DPD) history. Compared to the baseline Decision Tree model (ROC-AUC 0.573), XGBoost significantly improved classification accuracy. It also showed the potential to reduce the Non-Performing Loan (NPL) rate from 4% to below 3% and increase the approval rate from 65% to over 70%, aligning with Product X’s KPIs. These findings confirm that ensemble learning models especially XGBoost offer strategic value in enhancing credit portfolio quality and decision-making in digital banking.
Level of Satisfaction with Activities Sharing Session Sendhitasari, Aulia Ferina; Lidanta, Fairuz Zahirah; Salsabila, Syifa Aria; Sadewa, Rizki; Fakhrurroja, Hanif
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 1 No. 1 (2024): VOLUME 1, NO 1: JUNE 2024
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v1i1.22

Abstract

Human resource strategy development (people development) is a critical aspect in the growth and success of an organization, especially in the field of IT consulting to foster talent, encourage innovation, and improve overall organizational performance. Sharing session, as a form of interactive learning, offers a platform for employees to exchange ideas, best practices, and lessons learned, facilitating the development of a knowledgeable and adaptable workforce. Sharing sessions helping companies create an environment where knowledge can be shared, accessed, and used effectively by all members of the organization is the goal of knowledge management itself. This research was conducted using qualitative methods through a survey of employees, especially for the IT consulting industry to see the effect of sharing sessions in decision making which is then validated through a survey of top management to see satisfaction with the accuracy of employees in making decisions
Public Sentiment and GoTo Stock Price Movement in Indonesia: A Null-Relationship Study Using Naïve Bayes and Non-Parametric Measures Pramesti, Dita; Fakhrurroja, Hanif; Karina M., Rahma
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i2.46447

Abstract

The expiration of the lock-up period for PT GoTo Gojek Tokopedia Tbk's shares led to a sharp stock price decline and public discourse on Twitter. This study aims to examine the statistical relationship between public sentiment and GoTo’s stock price movement in Indonesia. Tweets were classified into positive or negative sentiment using the Naïve Bayes classifier, selected for its computational efficiency on large-scale textual data. The model achieved 70% accuracy, with a precision of 82% and F1-score of 75%. The sentiment polarity was then compared with stock trends across 39 distinct trading periods using four non-parametric statistical tests: Chi-Square (p = 0.6398), Cramer’s V (0.014), Goodman-Kruskal’s Lambda (0.053), and Mann-Whitney U test (p = 0.8994). None of these tests showed a statistically significant association between sentiment polarity and stock price movement. These findings highlight that while public sentiment may reflect short-term public interest, it does not reliably capture the market’s behavioral dynamics—especially in cases of investor decisions driven by broader macroeconomic or institutional factors. Sentiment data, therefore, should be considered as a complementary, rather than primary indicators in stock price analysis.
Co-Authors Abdullah Ridwan Adi Sutrisno Adi Waskito Agus Sutanto Agustiana, Nathifa Ahmad Musnansyah Andry Alamsyah Andy Victor Pakpahan Anindya Prameswari Putri Djakaria Anto Tri Sugiarto Arif Abdul Aziz Aris Munandar Asriana Asriana, Asriana Azwar Farrel Wirasena Betty Natalie Fitriatin Binashir Rofi’ah Bismar Fadli Carmadi Machbub Cindy Septiani Hudaya Deden Witarsyah Deni Kurnia Denis Gresan Yubelas Deris Stiawan Dermawan, M Farhan Hussaini Derry Destian Didit Adytia Dimas Jaya Kusuma Dina Angela Dini Dwi Andayani Dita Pramesti Dita, Limbong Agatha Dita Djakaria, Anindya Prameswari Putri Edi Triono Nuryatno Edy Tanu Elsa Melati Nurrachmat Emma Trinurani Sofyan Erlangga, Gilang Faishal Mufied Al Anshary Faishal Mufied Al-Anshary Fauziah, Nicky Oktav Firdaus, M Ridwan Fitri Widiantini Ghifari, Raden Faqih Hilmiy Hakim, Aqil Rahman Hans Melkisedek Simanjuntak Hariyadi , Hendri Hestiawan Joniko Joniko Karina M., Rahma Kemahyanto Exaudi Lidanta, Fairuz Zahirah Lovely Son, Lovely Lukman Abdurrahman Made Marshall Vira Deva Mahardiono, Novan Agung Marno Marno Mimin Muhaemin Mohammad Tyas Pawitra Muhammad Fakhrul Safitra Muhammad Fauzan Nur Adillah Muharman Lubis Nabiel Muhammad Al Ghazali Nathifa Agustiana Nopendri Nopendri Novan Agung Mahardiono Novan Agung Mahardiono Novan Agung Mahardiono Nuryatno, Edi Triono Oktariani Nurul Pratiwi Orvalamarva, Orvalamarva Permatasari, Yessy Prahastiwi, Narita Ayu Prima Audina Wibowo Puspitasari, Devi Ambarwati Putra Perdana Prasetyo, Aditya Putri Utami Rukmana Rahayu, Indah Sari Rahma Karina M. Rahman, Jodi Rizki Rahmat Budiarto Rahmat Mulyana Rahmat Rambe Rais, Muhammad Haidar Ramdhani, Fiqri Rian Bimo Ankhal Rian Bimo Ankhal Rimba Pratama Putra Riverinda Rijadi, Safara Cathasa Sadewa, Rizki Salsabila, Syifa Aria Sandy, Muhammad Dwi Hary Sarmayanta Sembiring Sendhitasari, Aulia Ferina Seno Adi Putra Setyorini Setyorini Sinung Suakanto Sudaryati Cahyaningsih Sugiono, - Sutoyo, Edi Tanu, Edy Tatang Mulyana Tien Fabrianti Kusumasari Triwangsa, Mochamad Cory Sakti Tualar Simarmata Utama, Muhammad Hasbi Juri V. Luvita Veithzal Rivai Zainal Veny Luvita Veny Luvita Wibowo, Jony Winaryo Wibowo, Nanang Roni Widianto Soekarnen Wijaya, I Made Darma Putra Wira Guna, Tezar Yolanda, Mitra Marlina Zuhdi, Hafidh