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Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Published by Asosiasi Riset Ilmu Teknik Indonesia
ISSN : 3031500X     EISSN : 3031349X     DOI : 10.61132
Core Subject : Science, Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering
open Industrial Engineering Science Cluster Research journal. This journal is a peer-reviewed and open research journal of the Engineering Science Clump
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 334 Documents
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Optimisasi Sistem Suplai Pembangkit pada PT PLN (Persero) Labuhan Aji Nusa Tenggara Barat Umar Farouk Andy Saputro; Aminullah Assagaf
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 5 (2026): September : Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Inf
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i5.1702

Abstract

Isolated power systems in archipelagic regions commonly depend on diesel generation, resulting in high operating costs and carbon emissions. This study develops a 24-hour Dynamic economic dispatch model based on Mixed integer linear programming to optimize the operation of a hybrid diesel–photovoltaic–battery energy storage system in Labuhan Aji, Moyo Island, Indonesia. The model minimizes daily operating costs subject to power balance, diesel-unit output and commitment limits, ramp-rate constraints, photovoltaic availability, battery charging and discharging limits, and state-of-charge dynamics. Three configurations were evaluated using actual operational data: diesel-only, diesel–photovoltaic, and diesel–photovoltaic–battery. The daily electrical demand was 1,251.3 kWh. The diesel-only case incurred an operating cost of IDR 4,837,537 and produced 1,067.4 kg CO₂. Adding photovoltaic generation reduced the cost and emissions by 33.8%, while increasing the Renewable Energy Share to 33.9%. The complete hybrid configuration delivered the best performance: diesel generation fell to 632.0 kWh, operating cost decreased to IDR 2,409,172, emissions declined to 539.1 kg CO₂, and the Renewable Energy Share reached 49.5%. Battery storage shifted daytime solar surplus to evening demand and supported peak shaving. The results demonstrate that coordinated dispatch can substantially improve the economic and environmental performance of isolated power systems without compromising hourly supply adequacy.
Pengembangan Sistem Video Conference Berbasis WebRTC dengan Integrasi Speech-to-Text menggunakan Web Speech API Beny Rahman Hakim; Yazid Aufar; Halimatus Sa'diah
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 6 (2026): November : Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Info
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i6.1703

Abstract

Advances in internet-based communication technology have driven the widespread use of video conferencing across education, industry, and public services. Although offering real-time audio and visual communication, existing systems do not fully support accessibility, particularly for deaf participants facing barriers in receiving verbal information. Integrating a speech-to-text (STT) feature offers a practical solution. Previous research implemented a WebRTC-based video conferencing application focusing on screen sharing and recording, but lacked a real-time STT module. Therefore, this study aims to develop a WebRTC-based web video conferencing system utilizing the Web Speech API to generate automated conversation transcriptions in supported languages. The system was developed using the Waterfall method, covering analysis, design, implementation, and testing phases. System design was modeled using Unified Modeling Language (UML) with use case and class diagrams, alongside mid-fidelity wireframes. The application was implemented using HTML, CSS, JavaScript, Node.js, and supporting libraries including Express, EJS, PeerJS, Socket.IO, UUID, and Nodemon. Following hosting deployment, system testing was conducted using black-box testing. Test results demonstrate that all core features function properly, with STT successfully converting audio into interactive, multilingual text. Both host and participants can view real-time conversation transcriptions directly on the conference screen. This system is expected to enhance communication inclusivity and accessibility, especially for deaf users.
Implementasi Algoritma Random Forest untuk Klasifikasi Diabetes dengan Metode Agile: Studi Kasus: Klinik XYZ Muhamad Fikri Hidayat; Hadi Zakaria
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 6 (2026): November : Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Info
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i6.1704

Abstract

Diabetes Mellitus (DM) is a chronic disease with a high prevalence that can cause serious complications if not diagnosed early. The initial diagnostic process, which relies on manual interpretation by medical personnel, is often time-consuming and prone to causing treatment delays. Therefore, this study aims to implement the Random Forest algorithm in a machine learning system to classify Diabetes Mellitus quickly and accurately. The system development method used is the Agile model with a Scrum approach to ensure an iterative and adaptive development cycle. This system was built using the Python programming language and a MySQL database, utilizing a patient dataset that includes variables such as the number of pregnancies, glucose levels, blood pressure, body mass index (BMI), age, and other health parameters. The results showed that the Random Forest algorithm successfully performed the classification with an accuracy rate of 90.8%, demonstrating excellent performance in predicting diabetes risk. The implication of this research is the development of an objective and efficient intelligent system to assist healthcare workers in conducting initial screening, thereby enabling more effective patient data processing and medical decision-making.
Integrated Waste Bin System: Sorting, Condition Sensing, and Geotracking Maulana Fakih Latief; Lukman Rosyidi; Muhammad Zidan; Unedo Dionisius Sipahutar; Zahra Aulia Rahmani; Safira Nur Azkia; Fauziyyah Annisah
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 6 (2026): November : Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Info
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i6.1707

Abstract

Traditional waste bins provide only passive storage and rely on rigid collection schedules, which often causes overflow, premature pickups, and mixed hazardous (B3) waste that increases health and environmental risks. This study proposes the Source-Level Waste Intelligence (SLWI) architecture, which coordinates source-level segregation, condition awareness, spatial awareness, and rule-based decision-making at the point of disposal. The architecture is implemented through the BINTAR smart waste-bin prototype, integrating an EfficientNetB0 image-classification model with servo-driven sorting, HC-SR04 ultrasonic and MQ-135 gas sensing, a SIM808 GPS module, and a web-based ReactJS monitoring dashboard on an ESP32 controller. Functional testing shows that the EfficientNetB0 classification model achieved 96.99% test accuracy, the ultrasonic sensors produced a mean absolute error of 10.33 cm, the MQ-135 sensor produced distinguishable responses across predefined gas/odor response ranges, and the SIM808 module successfully acquired GPS coordinates in all documented scenarios. Website updates were observed within 1–5 s under the prototype test conditions. These results demonstrate the functional integration of segregation, condition sensing, and geotracking within a single coordinated architecture, while quantitative physical-sorting accuracy and positioning error remain subjects for future validation.
Optimalisasi Tata Letak Fasilitas dan Material Handling Berbasis Lean Manufacturing Ady Rayyan
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 4 (2026): Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika.
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i4.1709

Abstract

The increase in production targets at NISHITANI Co. Ltd. from 4,500 to 5,700 units per shift demanded a smooth material flow. Initial conditions showed random Work-in-Process (WIP) placement triggering motion waste and transportation delays of 38 seconds per cycle. This study aimed to optimize facility layout and material handling using a Lean Manufacturing approach to reduce transfer time and meet capacity targets. The method combined route mapping using Spaghetti Diagrams, time studies, and computational simulation (JaamSim) to validate interventions. The layout implementation consolidated WIP areas, transforming a zigzag path into a straight-line flow. The results showed a decrease in material travel distance from 38 meters to 10 meters, and a reduction in transportation time from 38 seconds to 10 seconds per cycle. The use of batching transport trolleys was implemented to reduce the frequency of manual transfer. This layout and material handling intervention was able to consistently meet the target production flow rate.
Implementasi Metode Diskusi terhadap Prestasi Belajar Siswa Menggunakan Pendekakatan Data Analytics Berbasis Web pada SD Negeri Pogo Lede Stefania Bulu; Gergorius Kopong Pati; Diana Reby Sabawaly
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 4 (2026): Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika.
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i4.1714

Abstract

This study aims to analyze the implementation of the discussion method and its relationship with student academic achievement at SD Negeri Pogo Lede using a web-based data analytics approach. The discussion method provides students with opportunities to express opinions, ask questions, and develop shared understanding during learning. This study utilizes student learning outcome data and records of discussion activities, including available grades, attendance, and student engagement measured using instruments applied by the school. A web-based system was developed to assist teachers in recording, managing, and presenting data through tables and visualizations. Data analysis was conducted by examining learning outcome trends, comparing student achievement based on available data, and identifying patterns related to the implementation of the discussion method. Instructional records were also used to provide context regarding differences in student participation and challenges encountered by teachers during discussions. Through this approach, teachers can identify students who require additional support, evaluate the implementation of discussions, and plan instructional improvements based on available evidence. The study also explores the usefulness of web-based applications as tools for evaluating learning in primary schools. The relationship between the discussion method and academic achievement will be determined after all data have been collected and analyzed. The findings are expected to provide useful input for improving teaching and learning activities at the school.
Evaluasi Kinerja Paper Machine Line 6 Berdasarkan Overall Equipment Effectiveness (OEE) dan Enam Kerugian Besar sebagai Dasar Peningkatan Produktivitas di PT Indah Kiat Serang Rizky Akbar Hidayatullah; Ganjar Sidik Gandara; Romdhoni Romdhoni
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 4 (2026): Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika.
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i4.1718

Abstract

PT Indah Kiat Serang adalah salah satu perusahaan manufaktur kertas terbesar di Indonesia. Mesin Kertas Lini 6 di fasilitas tersebut memproduksi kertas rokok. Masalah spesifik yang memengaruhi Mesin Kertas adalah kegagalan mencapai produktivitas mesin yang optimal karena frekuensi downtime yang tinggi selama proses produksi di Lini 6, yang mencegah output produksi mencapai potensi penuhnya. Overall Equipment Effectiveness (OEE) adalah metode analitis yang digunakan untuk mengukur efektivitas pemanfaatan mesin, sistem, waktu, dan material dalam suatu sistem produksi. Analisis ini diikuti oleh metode "Enam Kerugian Besar" untuk mengidentifikasi enam jenis kegagalan proses produksi tertentu. Setelah kategori kerugian tertinggi diidentifikasi, diagram tulang ikan digunakan untuk menganalisis hubungan sebab-akibat, diikuti dengan penerapan metode 5W+1H untuk merumuskan perbaikan. Analisis data untuk Mesin Kertas Lini 6 di PT Indah Kiat Serang menghasilkan nilai OEE rata-rata sebesar 79,45%. Angka ini berada di bawah standar 85%, menunjukkan perlunya perbaikan atau peningkatan. Perhitungan selanjutnya menggunakan metode Enam Kerugian Besar mengungkapkan bahwa "kerugian akibat penurunan kecepatan" menyumbang persentase kerugian terbesar pada Jalur Mesin Kertas 6.
Sistem Kontrol Mesin Pengisian Minyak Otomatis Berbasis PLC Omron CP1L di PT Raharjo Teknik Indonesia Ghifari Permana; Didik Aribowo
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 4 (2026): Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika.
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i4.1720

Abstract

Industrial automation development demands production processes that are efficient, accurate, and consistent, including the oil filling process, which previously relied on manual systems with several drawbacks such as inconsistent filling volume, overfill risk, and dependence on operator skill. This study aims to reconstruct and analyze the control system of an automatic oil filling machine based on a Programmable Logic Controller (PLC) Omron CP1L at PT Raharjo Teknik Indonesia. The method used is applied research with a descriptive qualitative approach, through direct observation, documentation of I/O list data and ladder diagram programs, and interviews with machine technicians. The data were analyzed by reconstructing the ladder diagram program, tracing the control logic flow in each rung, and comparing it with the actual working conditions in the field. The results show that the control system uses a configuration of 24 input channels and 32 output channels that regulate two operating modes (automatic and manual/JOG) with an interlock system, position reading through an encoder converted into degree values, inverter control, and the stages of pouch pick-up, pouch opening, oil filling, and sealing that run automatically and sequentially. The implementation of the PLC Omron CP1L has proven capable of improving filling volume consistency, reducing human error, accelerating the production process, and simplifying the control panel wiring system compared to conventional relay-based systems, thereby supporting the overall efficiency of the production line.
Analisis Pengendalian Persediaan Kaleng dan Tutup Menggunakan Metode ABC Inventory Classification dan Economic Order Quantity (EOQ) di PT XYZ Nur Laili Anggraini; Yanuar Pandu Negoro; Mega Rahayu Hardiyanti
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 6 (2026): November : Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Info
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i6.1721

Abstract

Operational efficiency in inventory management is critical to maintaining productivity and preventing excessive cost allocation in seafood processing industries. PT XYZ faces challenges in managing its can and lid inventory, as procurement relies on operational policies without quantitative metrics to determine priority levels or economic order quantities. This study aims to evaluate and optimize the inventory control system of cans and lids by integrating Activity Based Costing (ABC) and Economic Order Quantity (EOQ), supplemented by Safety Stock (SS), Reorder Point (ROP), and Total Inventory Cost (TIC) comparisons. A quantitative descriptive approach was employed using secondary data regarding annual demand, unit prices, ordering costs, holding costs, and lead time across 17 packaging items. The ABC analysis classified four can variants—Day Boat, Gulf Shore, Bay Colony, and Blue Sea—into Class A, representing 60.27% of the total annual inventory investment worth Rp20.44 billion. Applying the EOQ model to Class A items established optimal order quantities between 50,638 and 63,822 units, reducing order frequencies from 24 times to 7–9 times per year. Furthermore, the established SS and ROP provide clear operational thresholds to prevent stockout risks. Implementing the proposed integrated model reduces the Total Inventory Cost for Class A items from Rp72,000,000 to Rp29,134,646, yielding an annual cost savings of Rp42,865,354 or a 59.53% reduction. These findings imply that integrating ABC and EOQ provides a structured, cost-effective framework for optimizing raw material inventory in manufacturing enterprises.
Perancangan Helm Pendeteksi Kantuk Pengendara Sepeda Motor Berbasis Fuzzy Logic Mamdani dan IoT Dewi Dewanti Subrata; Misbah Misbah
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 4 (2026): Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika.
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i4.1726

Abstract

Drowsiness and fatigue are the primary causes of traffic accidents among motorcycle riders. This study aims to design and test an Internet of Things (IoT)-based smart helmet for drowsiness detection to enhance riding safety. The system integrates an HC-SR04 ultrasonic sensor to detect yawning activity and an MPU6050 sensor to measure head tilt. Data from both sensors are processed by an ESP32 microcontroller using the Fuzzy Logic Mamdani method to classify drowsiness levels. The system is also equipped with a NEO-6M GPS module for location tracking and notification delivery via the Telegram application, along with physical warnings through a buzzer and vibration motor. Test results indicate that the reading accuracy of the HC-SR04 and MPU6050 sensors reaches 85.11% and 91.96%, respectively. The system successfully classifies rider conditions into normal, alert, and drowsy with an overall accuracy of 96.15%. This study proves that the integration of non-invasive sensors and fuzzy logic is highly effective as a preventive, affordable, and reliable early warning system to minimize the risk of microsleep-induced accidents among motorcycle riders.

Page 32 of 34 | Total Record : 334

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