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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 Jurnal Teknik Elektro Uniba (JTE Uniba) Jurnal Ilmiah Intech : Information Technology Journal of UMUS e-NARODROID Nusantara Science and Technology Proceedings 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)
Slamet Winardi
Fakultas Ilmu Komputer, Universitas Narotama
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology

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Diagnosa Kerusakan Motor Honda Sport Non Injeksi Metode Certainty Factor Eka Yuandi, Rizky; Winardi, Slamet
Jurnal Etnik: Ekonomi-Teknik Vol 2 No 1 (2023): ETNIK : Jurnal Ekonomi dan Teknik
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/etnik.v2i1.136

Abstract

Users of Honda motorbikes have been increasingly popular for many years, ranging from young people to adults. In general, motorbike users do not understand the damage that occurs to motorbikes and tend to hand it over to technicians without knowing whether the damage is simple or complicated to repair. With these considerations, it is necessary to make a system of tools to detect damage that occurs to motorbikes, so we need a system that can help motorbike users to overcome problems of damage that occurs to motorcycles, especially Honda Sport GL Pro, Megapro, and Tiger. A knowledge-based system for identifying motorcycle damage that is displayed using a web-based programming language. forming a decision tree and used to classify the damage into damage that most affects the motor to minor damage. Complaints are generated so that a system can be created that can help users for initial handling that occurs on motorbikes and is expected to speed up the repair of motorbikes that are classified as mild damage.
Prototype Pemantauan Konsumsi Energi Listrik pada Firebase Menggunakan PZEM-004T Yasa, Kadek Amerta; Purbhawa, I Made; Sumerta Yasa, I Made; Teresna, I Wayan; Nugroho, Aryo; Winardi, Slamet
Eksplora Informatika Vol 12 No 2 (2023): Jurnal Eksplora Informatika
Publisher : Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/eksplora.v12i2.993

Abstract

Saat ini kWh meter konvensional masih digunakan untuk memantau konsumsi listrik di Indonesia, sehingga masih diperlukan petugas yang mengunjungi rumah pelanggan setiap bulannya. Hal ini mengakibatkan Perusahaan Listrik Negara (PLN) harus menyediakan pencatat meter yang menjadi beban biaya perusahaan. Sementara itu pencatat meter mengalami kendala ketika rumah pelanggan kosong dan tidak dapat dicatat meternya. Permasalahan ini dapat diselesaikan jika menggunakan teknologi pencatatan yang otomatis dan bisa dikendalikan dari jarak jauh. Saat ini kemajuan teknologi memungkinkan konvergensi antara saluran komunikasi dengan berbagai hal. Teknologi yang dikenal dengan Internet of Things (IoT). Penelitian ini bertujuan untuk membuat pemantauan konsumsi energi listrik berbasis Internet of Things (IoT). Alat ini akan membantu perusahaan (PLN) dalam memantau penggunaan listrik setiap pelanggan tanpa petugas pencatat meter. Prototype alat ini telah berhasil dikerjakan menggunakan PZEM-004T yang kemudian mampu menampilkan tegangan, arus daya, power factor dan waktu. Luaran dari alat kwH meter teknologi IoT ini kemudian dikirimkan ke basis data Firebase. Firebase memiliki keunggulan karena ditempatkan dalam cloud. Sehingga data yang diperoleh dapat juga ditampilkan dalam aplikasi android. Hasil pengujian dari prototype kemudian dilakukan pengujian beban dan dibandingkan dengan alat ukur sejenis yang ada di pasaran. Pengujian beban menghasilkan keakuratan sistem dengan rata-rata persentase akurasi tegangan: 99.25%, arus: 99.82%, daya: 97.50% dan factor daya: 98.78%. Penelitian ini menghasilkan prototipe menggunakan ESP32 dan PZEM-004T yang sangat akurat sehingga dapat direkomendasikan untuk pencatatan daya listrik yang mampu mengurangi beban biaya operasional PLN.
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.
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 Didik Dwi Suharso Didik Tristianto Dwi Suharso, Didik Eka Yuandi, Rizky Fadilla, Muhammad Myrza Fauzi, Chamdan Febrian Rusdi, Jack 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 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 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 Sugeng Purwanto Sulianto Bhirawa Sumerta Yasa, I Made Suryani, Dedik Suryo, Philipus Susilo, Kunto Eko Tahegga Primananda Alfath Tresna Maulana Fahrudin Tresna Maulana Fahrudin Wahyu Mulyo Utomo Wahyu Mulyo utomo Wahyu S.J. Saputra Wijaya, I Made Agus Chandra Yudi Kristyawan Yulius Satmoko Raharjo Zulkifli, Che Zalina