cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Nanang Fakhrur Rozi
Contact Email
nanang@itats.ac.id
Phone
-
Journal Mail Official
iptek.journal@itats.ac.id
Editorial Address
-
Location
Kota surabaya,
Jawa timur
INDONESIA
Jurnal IPTEK
Published by Institut Teknologi Adhi Tama Surabaya
ISSN : 14117010     EISSN : 2477507X     DOI : -
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Industrial & Manufacturing Engineering Mechanical Engineering
Jurnal IPTEK - Media Komunikasi Teknologi Diterbitkan secara berkala setahun 2 (dua) kali pada bulan Mei dan Desember oleh Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM), Institut Teknologi Adhi Tama Surabaya (ITATS). Jurnal ini memuat hal-hal yang berkaitan dengan bidang Teknik Sipil, Teknik Mesin, Teknik Elektro, Teknik Arsitektur, Teknik Perkapalan, Teknik Informatika, Teknik Industri, Teknik Kimia, Teknik Lingkungan, Teknik Pertambangan, Teknik Geologi, Desain Produk, Sistem Informasi, dan Sistem Komputer baik yang ditulis dalam bahasa Indonesia maupun bahasa Inggris (diutamakan).
Arjuna Subject : -
Articles 397 Documents
 36   37   38   39   40 
Lexicon-Based, Naïve Bayes, C4.5 for Analyzing Visitor Data Reviews as Recommendations for Priority Development of Labuan Bajo Tourism Dahur, Arnoldus Janssen; Sami'un, Defitroh Chen
Jurnal IPTEK Vol 29, No 2 (2025): December
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2025.v29i2.8178

Abstract

Labuan Bajo is one of Indonesia’s national priority destinations, known for its natural beauty and unique ecosystem. However, several issues raised by tourists—such as complaints regarding prices, infrastructure, and environmental cleanliness—may affect its image and tourism sustainability. This study aims to analyze tourist perceptions of Labuan Bajo based on 7,000 reviews from TripAdvisor and Google Maps obtained through web crawling. Sentiment labeling was conducted using a Lexicon-Based approach, while classification was performed using the Naïve Bayes and C4.5 algorithms, both with and without the Synthetic Minority Oversampling Technique (SMOTE). The results showed 4,374 positive, 2,769 negative, and 1,804 neutral reviews. Based on the CRISP-DM method, Naïve Bayes achieved the highest accuracy of 88%, compared to 78% for C4.5. Dominant positive terms such as beautiful, stunning, and sustainable highlight Labuan Bajo’s natural strengths, while negative terms like price, toilet, and trash indicate areas requiring improvement. The findings provide strategic recommendations to enhance tourism management and service quality toward sustainable tourism development.
Integration of MOST and AHP Methods for Determining Strategic Priorities in Business Development for the Steel Pipe Industry at PT. Spindo Tbk. Hadi, Rachmat Yustiawan; Aulady, Mohamad Ferdaus Noor
Jurnal IPTEK Vol 29, No 2 (2025): December
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2025.v29i2.8465

Abstract

PT. Spindo Tbk. merupakan salah satu produsen pipa baja terkemuka di Indonesia, menghadapi tantangan yang semakin kompleks akibat persaingan global, fluktuasi harga bahan baku, perubahan regulasi, serta perkembangan teknologi yang cepat. Penelitian ini bertujuan untuk merumuskan rekomendasi strategi pengembangan bisnis pada industri manufaktur pipa baja melalui integrasi kerangka MOST, analisis PEST, serta Merancang alternatif strategi menggunakan MOST dan PEST, dan menentukan bobot kriteria melalui pengisian kuesioner oleh para ahli dan di olah menggunakan software Super Decision dengan metode AHP  untuk menentukan prioritas strategi. Pada penelitian ini data dikumpulkan melalui wawancara, FGD dan kuesioner pemangku kepentingan. Penilaian para ahli dikumpulkan melalui kuesioner dengan pairwise comparison dan diolah menggunakan perangkat lunak SuperDecision. Didapatkan Nilai rasio konsistensi (CR = 0.053), bobot tertinggi terdapat pada strategi 1 (Optimatisasi dan Ekspansi Berbasis Teknologi Produksi Untuk Efisiensi Biaya dan Kualitas) dengan bobot 20.1 %. Dan bobot terendah pada kriteria strategi 7 yaitu (Green Manufacturing atau Sertifikasi ISO Lingkungan serta Kepatuhan Pada ESG) dengan bobot 10.6 %. Hasil penelitian mengungkapkan bahwa kemajuan teknologi, kapabilitas sumber daya manusia, dan dinamika pasar merupakan faktor yang paling berpengaruh dalam pembentukan prioritas strategi perusahaan. Secara keseluruhan, integrasi MOST, PEST, dan AHP memberikan pendekatan perencanaan strategis yang terstruktur, komprehensif, dan analitis.
Utilizing Compact 4G LTE Mobile Stations to Enhance Network Coverage in Rural Low-Signal Areas Sirmayanti, Sirmayanti; Ihsary, Muh. Ilham; Mahjud, Ichsan
Jurnal IPTEK Vol 29, No 2 (2025): December
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2025.v29i2.7732

Abstract

A bad spot is an area where signal quality fails to meet Key Performance Indicator (KPI) standards, due to factors such as limited channel capacity, BTS malfunctions, long distances from the BTS, or topographical interference. This study investigates a 4G LTE bad spot case in the rural area of Romanglasa Subdistrict where RSRP levels range from -100 dBm to -120 dBm. Although several e-nodeBs are present around the area, physical obstructions like trees and buildings continue to degrade signal quality. The objective of this study is to effectively implement a Compact Mobile Station (COMBAT), analyze the installation process, and evaluate the network's performance after deployment. The methods used include drive testing, BTS site surveys, simulations, and network design. The installation was carried out in collaboration with Telkomsel using Combat-571 as the cell ID. Following deployment, network quality measurements and post-drive testing were conducted. The results showed significant improvements: download throughput reached 47.6 Mbps, upload 28.4 Mbps, jitter decreased to 7 ms, packet loss dropped to 0%, and latency was reduced to 21 ms. Post-installation RSRP also improved to between -80 dBm and -100 dBm, categorized as good to fair according to KPI standards.
(Cover, Editorial Board, Table of Contents) Tim IPTEK, Tim IPTEK
Jurnal IPTEK Vol 26, No 2 (2022): December
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

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

Abstract

Development of IOT-Based Predictive System for Water Treatment for Monitoring Electric Motor Agitators Widikda, Aris Puja; Frayudha, Angga Debby
Jurnal IPTEK Vol 29, No 2 (2025): December
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2025.v29i2.8230

Abstract

This research aims to develop an Internet of Things (IoT)-based predictive maintenance system for AC electric motors used in water treatment plants. The primary objective is to reduce unplanned downtime and enhance operational reliability by enabling proactive scheduling of maintenance activities. Research design adopts a research and development approach, beginning with a preliminary study, followed by system design, prototype implementation, data acquisition, and performance validation. The system integrates vibration, temperature, and rotation sensors with an Arduino/ESP32 microcontroller for real-time data collection. Data is transmitted via MQTT protocol to a cloud platform for storage and analysis. Machine learning algorithms, including Random Forest and Long Short-Term Memory (LSTM), are applied to classify equipment condition and detect anomalies. To address the limitation of failure data, Generative Adversarial Networks (GANs) are employed to generate synthetic training data, improving model robustness. Experimental results show that vibration levels reached 3.9 mm/s, temperature rose to 95 °C, and motor speed dropped to 1420 RPM, all of which signaled potential failure before actual breakdown. The LSTM model achieved an F1-score of 0.92, which increased to 0.95 when combined with GAN-based data augmentation, outperforming Random Forest. In conclusion, the proposed system demonstrates that integrating IoT with multi-sensor data and advanced machine learning enables early fault detection in AC motors. This approach offers a cost-effective and scalable solution for predictive maintenance, reducing downtime and extending equipment lifespan in water treatment operations.
Enhancing New Student Enrollment Using an Integrated SWOT-QSPM Approach: A Case Study of XYZ University Munawi, Hisbulloh Ahlis; Sudarso, Indung
Jurnal IPTEK Vol 29, No 2 (2025): December
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2025.v29i2.8473

Abstract

Competition in the service industry, especially higher education, is becoming increasingly intense. This tight competition also affects University XYZ, resulting in a declining number of new students. The purpose of this study is to identify weaknesses, strengths, opportunities, and threats through a SWOT analysis, and to evaluate strategies using QSPM. The SWOT analysis results indicate that the main strategy involves utilizing reputation, diverse study programs, experienced lecturers, and high-achieving students to seize opportunities such as the increasing interest in pursuing higher education. The QSPM analysis shows that the SO strategy has a TAS value of 6.43, the ST strategy has a TAS value of 5.99, the WO strategy has a TAS value of 5.45, and the WT strategy has a TAS value of 5.21. The integration of both analyses results in implementable strategies for increasing new student enrollment, ensuring that the strategies can be effectively applied.
Identification of Energy Costs in The Gowongan Water Supply System of Perumda Air Minum Tirta Moedal, Semarang, Indonesia Putri, Afriza Cahya; Masduqi, Ali; Suryanto, Suryanto
Jurnal IPTEK Vol 29, No 2 (2025): December
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2025.v29i2.7899

Abstract

Energy use in water supply systems has drawn increasing attention, especially in areas relying on pumps. This study evaluates the E4 pumps system at the Gowongan Water Supply System (SPAM) by Perumda Air Minum Tirta Moedal Semarang City, conducted in April 2025. Real-time measurements were taken using an ultrasonic flowmeter and a digital power meter. The analysis covered pump efficiency, Specific Energy Consumption (SEC), and electricity usage during peak (WBP) and off-peak (LWBP) hours, based on Ministry of Energy Regulation No. 7/2024. The results showed a pump efficiency of 60.3% and an SEC value of 0.221 kWh/m³. Over 83% of electricity was consumed during off-peak hours, indicating the effectiveness of the Variable Speed Drive (VSD) implementation. The audit also recommends optimizing pump operation schedules and exploring alternative energy sources as strategies to improve operational efficiency.  
Experimental Study on The Application of Taguchi Design of Experiment (DoE) and ANOVA for a Waste-Based Composite Material Sugiono, Didik; Rufaidah, Anik; Ulum, Miftahul; Rohmat, Rohmat
Jurnal IPTEK Vol 29, No 2 (2025): December
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2025.v29i2.8254

Abstract

The increasing amount of industrial and agricultural waste necessitates innovation in the use of environmentally friendly alternative materials in the construction sector. This research aims to analyze the influence of varying cement, sand, seashell powder, and coconut fiber powder compositions on the compressive strength and porosity of paving blocks using the Taguchi method and ANOVA. The experimental design uses an orthogonal array L16 (4⁴), resulting in 16 experimental combinations. The test results indicate that coconut husk powder is the most significant factor influencing porosity, while other factors have a relatively small effect. The optimum parameters for porosity were obtained at a cement composition of 643.24 g, sand 915.84 g, seashell powder 686.883 g, and coconut fiber powder 0 g. Meanwhile, the optimum compressive strength was achieved at cement 643.23 g, sand 2289.60 g, seashell powder 228.961 g, and coconut fiber powder 0 g. Regression analysis showed that the model had a good fit with an R² of 0.8967 for porosity and 0.5625 for compressive strength. This research proves that utilizing clamshell and coconut husk waste has the potential to produce high-quality paving blocks while also supporting sustainable waste management.
Inventory Analysis of Spare Part Using Always, Better, Control (ABC) and Economic Order Quantity (EOQ) Method in PT. XYZ - Medan Ahmad, Nofan Hadi; Mufti, Wahyu Fitrianda; Sari, Tri Novita; Muti, Asri Amalia; Yulfadila, Yulfadila
Jurnal IPTEK Vol 29, No 2 (2025): December
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2025.v29i2.7557

Abstract

Inventory plays a pivotal role in a company's logistics, serving both to fulfill external customer demands and to enhance internal production efficiency. However, PT. XYZ in Medan did not address yet several cost factors that could significantly influence the overall procurement expenses of spare parts, particularly given that certain spare parts carry notably high purchase prices. While PT. XYZ has been placing orders for spare parts, these are typically initiated only when stock is depleted, based on the assumption that spare parts fall under the category of slow-moving goods. Consequently, it is imperative to conduct an inventory analysis to identify gap between the existing conditions and the outcomes derived from the proposed methodological approach. The methodology used in this study is Always, Better, Control (ABC) method to classify spare parts based on their cost percentage and Economic Order Quantity (EOQ) method to analyze the economic order size, order frequency and optimal ordering time. From the results of data processing that has been done, there are 7 types of spare parts that fall into category A and there is a decrease in Total Variable Cost (TVC) ranging from 13% to 40% from existing conditions. Ordering costs consist of telecommunications costs, labor costs, fuel costs and loading/unloading costs; while storage costs consist of electricity costs and maintenance costs. Scheduling the time of reordering or sending purchase order (PO) to the vendor, the number of spare part units to be ordered and the estimated arrival of spare parts are carried out based on the EOQ calculation that has been compared and adjusted to the previous existing conditions.
Cover, Editorial Board, Table of Contents editorial tim, editorial tim
Jurnal IPTEK Vol 29, No 2 (2025): December
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2025.v29i2.8562

Abstract

Page 39 of 40 | Total Record : 397

 36   37   38   39   40 

Filter by Year

2015 2025


Reset
Filter By Issues
All Issue Vol 29, No 2 (2025): December Vol 29, No 1 (2025): May Vol 28, No 2 (2024): December Vol 28, No 1 (2024): May Vol 27, No 2 (2023): December Vol 27, No 1 (2023): May Vol 27, No 1 (2023) Vol 26, No 2 (2022): December Vol 26, No 2 (2022) Vol 26, No 1 (2022) Vol 26, No 1 (2022): May Vol 25, No 2 (2021): December Vol 25, No 2 (2021) Vol 25, No 1 (2021): May Vol 25, No 1 (2021) Vol 24, No 2 (2020): December Vol 24, No 2 (2020) Vol 24, No 1 (2020) Vol 24, No 1 (2020): May Vol 23, No 2 (2019): December Vol 23, No 2 (2019) Vol 23, No 1 (2019) Vol 23, No 1 (2019): May Vol 22, No 2 (2018) Vol 22, No 2 (2018): December Vol 22, No 1 (2018): May Vol 22, No 1 (2018) Vol 21, No 2 (2017): December Vol 21, No 2 (2017) Vol 21, No 1 (2017) Vol 21, No 1 (2017): May Vol 20, No 2 (2016) Vol 20, No 2 (2016): December Vol 20, No 1 (2016) Vol 20, No 1 (2016): May Vol 19, No 2 (2015): December Vol 19, No 2 (2015) More Issue