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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Ilmiah Kursor Scan : Jurnal Teknologi Informasi dan Komunikasi EMITTER International Journal of Engineering Technology Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA SMARTICS Journal Jurnal TAM (Technology Acceptance Model) Jurnal Eksplora Informatika IJEBD (International Journal Of Entrepreneurship And Business Development) Jurnal RESISTOR (Rekayasa Sistem Komputer) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) IJEEIT : International Journal of Electrical Engineering and Information Technology SPIRIT JUKANTI (Jurnal Pendidikan Teknologi Informasi) Mobile and Forensics Jurnal Teknik Elektro Uniba (JTE Uniba) Jurnal Ilmiah Intech : Information Technology Journal of UMUS e-NARODROID Nusantara Science and Technology Proceedings Jurnal AbdiMas Nusa Mandiri ETNIK : Jurnal Ekonomi dan Teknik Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Informatika Teknologi dan Sains (Jinteks) Malcom: Indonesian Journal of Machine Learning and Computer Science Insand Comtech : Information Science and Computer Technology Journal Jurnal Sistem Cerdas dan Rekayasa Seminar Nasional Ilmu Terapan Jurnal Pendidikan Teknologi Informasi (JUKANTI) Modem : Jurnal Informatika dan Sains Teknologi Jurnal TAM (Technology Acceptance Model)
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Rancang Bangun Smart Door Lock Berbasis Iot dan Recording Data Pada Firebase M. Adonis; Slamet Winardi
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 2 (2025): April : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i2.384

Abstract

Smart Door Lock is a development of a conventional manual home door lock or padlock. This study aims to create alternative technology at home by utilizing available lock technology. This study uses an Arduino Uno Microcontroller as the brain of the solenoid and as a power supply for the fingerprint scanner, and an esp 32 microcontroller as a tool for sending fingerprint data to firebase. The fingerprint scanner is run using the Arduino Ide to add fingerprints. Arduino programming is done using the Arduino IDE. The results of the study are described in the form of designing an automatic home door lock using a fingerprint scanner and Arduino as a solenoid control. The fingerprint data results will be visible in firebase
Advanced processor selection guidance system for optimal computing performance using AHP-profile matching Winardi, Slamet; Gumelar, Agustinus Bimo; Zulkifli, Che Zalina; Salmanarrizqie, Ageng; Suryo, Philipus
Jurnal Ilmiah Kursor Vol. 13 No. 2 (2025)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v13i2.439

Abstract

The increasing complexity of modern processors and rapid advances in computing technology pose significant challenges for users seeking to select the optimal processor to satisfy their specific requirements. The " Processor Selection with AHP-Profile Matching: Implementation and Performance Analysis" addresses this problem by providing a structured, evidence-based approach to processor selection. This system integrates the Analytic Hierarchy Process (AHP) and profile matching algorithms to evaluate and rank processors based on parameters such as brand, price, socket type, thermal design power (TDP), core count, thread count, clock speed (GHz), DDR compatibility, and PCIe version. User inputs were collected and analyzed using the AHP to determine the relative importance of each criterion. Profile matching aligns user requirements with optimal processor configurations in a database. Results are presented through a comparative analysis that highlights each processor's strengths and limitations. Compatibility checks ensure seamless integration with existing hardware. The results indicate an accuracy of 81% with AHP alone and 91% with the combined AHP-Profile Matching approach. The proposed system significantly improves decision-making efficiency by providing a robust, user-centric processor selection approach and optimizing computational performance.
PEMBUATAN APLIKASI KOPERASI SIMPAN PINJAM DI DESA BAMBE, DRIYOREJO Purwanto, Devi Dwi; Winardi, Slamet; Subandoro, Philipus Suryo; Kartika Salim, Shierly; Gabeler, Robertus Geraldyn Alexandro; Tristianti, Berliana Az Zahra; Gumelar, Agustinus Bimo
Jurnal AbdiMas Nusa Mandiri Vol. 8 No. 1 (2026): Periode Januari 2026
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v8i1.7390

Abstract

This community service activity aims to support the Savings and Loan Cooperative in Bambe Village, Driyorejo District, in addressing problems of inefficient manual recording, potential errors, and suboptimal transparency of financial information for members. The proposed solution is the development of a web-based application that includes membership management, recording of savings and loan transactions, interest calculation, real-time financial reporting, transaction notifications, and automatic calculation of Operating Surplus (SHU). The implementation method consists of six stages: problem analysis, collaborative solution design with partners, system implementation, training and assistance, monitoring and evaluation, and report preparation and publication. The results show that the application is able to improve cooperative administrative efficiency, accelerate the reporting process, and increase the openness of information access for members. Based on questionnaire results from 30 respondents, the level of user satisfaction falls into the very good category with an average score of 4.5 out of 5. Further evaluation indicates the need to improve members’ understanding of application usage, leading to additional training and system improvements based on user feedback. Future development is directed toward the integration of digital payment systems.
Unsupervised Twitter Sentiment Analysis on The Revision of Indonesian Code Law and the Anti-Corruption Law using Combination Method of Lexicon Based and Agglomerative Hierarchical Clustering Prayoga, Nur Restu; Tresna Maulana Fahrudin; Made Kamisutara; Rahagiyanto, Angga; Primananda Alfath, Tahegga; Latipah; Winardi, Slamet; Susilo, Kunto Eko
EMITTER International Journal of Engineering Technology Vol 8 No 1 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i1.477

Abstract

The rejection on ratification of the revision of Indonesian Code Law or known as RKUHP and Corruption Law raises several opinions from various perspectives in social media. Twitter as one of many platforms affected, has more than 19.5 million users in Indonesia. Twitter is one of many social media in Indonesia where people can share their views, arguments, information, and opinions from all points of view. Since Twitter has a great diversity of users, it needs a system which is designed to determine the opinion tendency towards the problems or objects. The purpose of this study is to analyze the sentiment of Twitter users' tweets to reject the revision of the Law whether they have positive or negative sentiments using the Agglomerative Hierarchical Clustering method. The data that being used in this study were obtained from the results of crawling tweets based on hashtag (#) (#ReformasiDikorupsi). The next stage is pre-processing which consists of case folding, tokenizing, cleansing, sanitizing, and stemming. The extraction features Lexicon Based and Term Frequency (TF) which performs the process automatically. In the clustering stage, two clusters use three approaches; single linkage, complete linkage and average linkage. In the accuracy calculation phase, the writer uses the error ratio, confusion matrix, and silhouette coefficient. Therefore, the results are quite good. From 2408 tweets, the highest accuracy results are 61.6%.
Co-Authors Achmad Rizal Adijaya, Indra Yudha Afif, Khoiril Agung Surya Agustinus Bimo Gumelar Ahmad Khozin Al-Azam, Moh Noor Alamsyah, Gharisa Nur Alfriyani, Ega Pratama Anik Vega Vitianingsih Anindito, Benediktus Antonius Edy Kristiyono Ardiansyah Rizal Tama Arief Budijanto Aryo Nugroho Bayu Saputra Bayu Saputra Benediktus Anindito Benediktus Anindito Benediktus Anindito Benediktus Anindito Budi Santoso Budijanto, Arief Dadang Supriyatno Darian Rizaludin Devi Dwi Purwanto Didik Dwi Suharso Didik Tristianto Dwi Suharso, Didik Eka Yuandi, Rizky Fadilla, Muhammad Myrza Fauzi, Chamdan Febrian Rusdi, Jack Gabeler, Robertus Geraldyn Alexandro Hendra Purnomo, Hendra Hendri Kurniawan Hendro Purnomo I Gede Susrama Mas Diyasa I Made Purbhawa I Wayan Teresna, I Wayan Immah Inayati, Immah Kadek Amerta Yasa Kamisutara, Made Kartika Salim, Shierly Kuncoro . Kunto Eko Susilo Latipah Lidya Maukar, Anastasia M. Adonis Machrudin, Moch Ashar Moh. Noor Al-Azam Muchayan, Achmad Muhamad Nur Arifin Muhammad Alvie Zaimuddin MUHAMMAD FARID ANDY THREE ANSYAH Muhammad Husnul Hakim Novi Putri Rahayu Lestari Novy Dwi A Nurul Fajar Setiawan Prastyo, Herru Prayoga, Nur Restu Putra Selian, Rasyid Ihsan Putra, Fredy Pradana Rafiq, Ainur Rahagiyanto, Angga Rangsang Purnama Rico Dwi Saputra Rofiqi, Mohamad Akhsan Salmanarrizqie, Ageng Sandi Ifan Maulana Sri Mulyanto Herlambang Sri Wiwoho Mudjanarko, Sri Wiwoho Subandoro, Philipus Suryo Sugeng Purwanto Sulianto Bhirawa Sumerta Yasa, I Made Suryani, Dedik Suryo, Philipus Susilo, Kunto Eko Tahegga Primananda Alfath Tresna Maulana Fahrudin Tresna Maulana Fahrudin Tristianti, Berliana Az Zahra Wahyu Mulyo Utomo Wahyu Mulyo utomo Wahyu S.J. Saputra Wijaya, I Made Agus Chandra Yudi Kristyawan Yulius Satmoko Raharjo Zulkifli, Che Zalina