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MODEL KUANTITATIF OPTIMASI ENERGI ALTERNATIF BAHAN BAKAR MINYAK Rusli Yusuf; Bambang Sutejo
Matrik : Jurnal Manajemen dan Teknik Industri Produksi Vol 22 No 2 (2022)
Publisher : Prodi Teknik Industri Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/matrik.v22i2.3129

Penelitian “Model kuantitatif Optimasi Sumber Energi Alternatif Bahan Bakar Minyak (BBM)”, dengan menggunakan metode pendekatan goal programing akan dihasilkan model matetatik yang komperhensif untuk penentuan kibijakan dalam bidang energi alternatif selain bahan bakar minyak. Hasil Penelitian ini yaitu model analisis sensitifitas dan model optimasi energi altenatif BBM. Model yang dikembangkan adalah goal programming untuk optimasi energi alternatif BBM. Implementasi model dilakukan terhadap energi alternatif BBM diantaranya batubara, gas alam dan hidro, Dan hasil perhitungan dengan Expert Choice Version 9.0 diperoleh tipe energi alternatif batubara dengan bobot prioritas relatif 36.8 % pada overall consistency index 0.04 atau 4%. Implementasi model optimasi dilakukan terhadap rencana tipe energi alternative bahan bakar minyak dengan perhitungan dengan menggunakan program Quantitative System 3.0 yang diperoleh batubara = 9.809274, gas = 0.8409028, hidro = 0, Minimal objective = 18.69225

PERENCANA PENGEMBANGAN INDUSTRI DI PROPINSI KALIMANTAN TIMUR DENGAN MENGINTEGRASIKAN METODE LOCATION QUOTIENT DAN ANALISIS BERTINGKAT (ANALYTICAL HIERARTYCAL PROCESS) Bambang Sutejo; Mohammad Koirul Amin; Sari Sari
OPSI Vol 11, No 1 (2018): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Kopetisi di dunia yang semakin ketat diera globalisasi dan perdagangan bebas APEC, mengharuskan pengembangan industri provinsi Kalimantan Timur, Industri di propinsi Kaltim terdapat kesenjangan wilayah yang cukup besar antara Pulau Jawa dan Luar Pulau Jawa, diantaranya dalam hal jumlah unit usaha industri besar dan sedang, kontribusi sektor industri non migas, investasi sektor industri PMA dan PMDN, serta luas lahan kawasan industriHasil perhitungan Location Quotient (LQ) Tahun 2016, maka secara rata-rata dapat diidentifikasikan sektor-sektor yang merupakan sektor basis (nilai LQ>1) adalah sektor Pertambangan dan Penggalian (dengan sub sektor basis : Minyak dan Gas Bumi dan Pertambangan Tanpa Migas dengan nilai LQ masing-masing sebesar 3,81 dan 10,12) dengan nilai LQ keseluruhan 5,95. Sektor Pertambangan dan Penggalian merupakan sektor yang memiliki keunggulan sehingga mampu memenuhi kebutuhan di dalam Provinsi Kalimantan Timur serta mempunyai potensi untuk diekspor ke daerah di luar Kalimantan Timur. Sektor pertanian dan sektor pertambangan dan penggalian adalah sektor yang mampu menjadi sektor basis dominan di beberapa Kabupaten/Kota di Provinsi Kalimantan Timur. Hasil analisis Klassen Tipology terhadap PDRB Provinsi Kalimantan Timur tahun 2015-2016 sektor yang dikategorikan sebagai sektor potensial, yaitu sektor yang mempunyai kontribusi rata-rata tinggi namun tertekan yaitu sektor “Pertam-bangan dan Penggalian” dan Industri Pengolahan. Pembangunan ekonomi dengan mengacu pada kedua sektor tersebut selain berdampak pada percepatan pertumbuhan ekonomi juga akan berpengaruh pada perubahan mendasar dalam struktur ekonomi. Sektor “Pertanian”, “Listrik, Gas dan Air Bersih”, “Bangunan”, Perdag. Hotel dan Restoran”, Pengangkutan dan Komunikasi”, Keuangan Persewaan, dan Jasa Perusahaan”, dan “Jasa-Jasa” termasuk ke dalam sektor berkembang, Sementara sektor-sektor yang tergolong ke dalam sektor prima dan terbelakang tidak memiliki kontribusi dan nilai pertumbuhan

Analisa Mutu Produk Tepung Terigu berdasarkan NIR (Near Infrared) dengan Menggunakan Metode Six Sigma dalam Upaya Memenuhi Kepuasan Pelanggan (Studi Kasus pada PT. XYZ) Mochamad Kusaini; Bambang Sutejo
Formosa Journal of Applied Sciences Vol. 1 No. 4 (2022): September 2022
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjas.v1i4.1195

Penelitian ini bertujuan untuk mengetahui kualitas dan cara untuk mengendalikannya dengan menggunakan metode Six Sigma, dengan mengukur kualitas kadar moisture dan kadar abu. Kadar moisture dan kadar abu merupakan titik vital kualitas yang terdapat dalam tepung terigu, sehingga perlu adanya sistem untuk mengendalikannya. Menganalisis unsur- unsur kritis terhadap kualitas atau biasa disebut sebagai Critical to Quality (CTQ) dari suatu proses, menganalisa kemampuan proses dan bertujuan guna menstabilkannya dengan cara mengurangi atau menghilangkan variansi-variansi pada proses. Langkah mengurangi stigma dan variansi dilakukan secara sistematis dengan mendefinisikan (define), mengukur (measure), menganalisa (analyze), memperbaiki (improve) dan mengendalikan (control) yang kemudian disebut dengan DMAIC.

Pendampingan dan Pelatihan Kewirausahaan Berbasis Produksi dan Bisnis Dalam Meningkatkan Kompetensi Kewirausahaan Siswa SMKN 3 Buduran Sidoarjo IGA Sri Deviyanti; Dedy Kunhadi; Bambang Sutejo; Achmad Chusaini
Prosiding Seminar Nasional Sains dan Teknologi Terapan 2022: Energi Terbarukan dan Keberlanjutannya di Berbagai Sektor
Publisher : Institut Teknologi Adhi Tama Surabaya

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

Pengembangan minat kewirausahaan pada siswa Sekolah Menengah Kejuruan (SMK) dipandang strategis untuk menyiapkan generasi mendatang yang produktif dan berkarakter. Teknologi dalam bidang industri Perkapalan khususnya, menjadi sarana bagi SMKN 3 Buduran untuk memberi pembelajaran secara cepat, dan jelas dalam pembelajaran kewirausahaan berbasis produksi dan bisnis. Untuk meningkatkan kompetensi kewirausahaan tersebut, dan dengan tujuan untuk menjadi sekolah bagi para pengusaha pemula di Indonesia, SMKN 3 Buduran Sidoarjo melakukan kerjasama Triple Helix dengan Universitas WR Supratman, dan pihak DUDI (Dunia Industri). Kerjasama dengan Universitas WR Supratman Surabaya dilaksanakan dalam bentuk kegiatan pengabdian masyarakat. Materi pelatihan antara lain : tentang analisis keuangan untuk pengambilan keputusan, branding, content social media dan lain lain.

THE INFLUENCE OF ORGANIZATIONAL CULTURE, WORK ENVIRONMENT, WORK DISCIPLINE ON PERFORMANCE OF PT. EMPLOYEES. JASA MARGA (PERSERO). Tbk BELMERA MEDAN BRANCH Agnes Pratiwi Br Damanik; Andre Fitriano; Dina Eldina Marbun; Ellin; Bambang Sutejo
Mount Hope Economic Global Journal Vol. 2 No. 2 (2024)
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/mega.v2i2.399

This research aims to explain the influence of Organizational Culture, Work Environment, Work Discipline on Employee Performance at PT. Jasa Marga (Persero) Tbk. Belmera Medan Branch. The population of this study was 152 and the sample was calculated using the Slovin formula to obtain results of 61 respondents. The method in this research is a quantitative method. The data collection techniques used were interviews, documentation studies and questionnaires. For data analysis techniques in this research using validity tests, reliability tests, classical assumption tests, multiple linear regression analysis tests, F tests, T tests, and coefficient of determination tests (R2) using SPSS version 25. Based on the research results, it shows that the test results t the Organizational Culture variable (X1) has a partially significant effect on employee performance, the Work Environment (X2) has no partial significant effect on employee performance, and Work Discipline (X3) has a partially significant effect on employee performance. The results of the F test show that Organizational Culture, Work Environment, Work Discipline have a positive and significant effect simultaneously on PT Employee Performance. Jasa Marga (Persero) Tbk. Belmera Medan Branch with a sig value of 0.000<0.05.

Pelatihan Manajemen Pemasaran dan Sertifikasi Produk Pada UMKM Tahu “Sidodadi” Kediri dalam Meningkatkan Daya Saing Produk Bachrul Amiq; Ony Kurniawati; Bambang Sutejo; Dyah Pelitawati; Davis Febrinanto Prakasa; Pinky Pininta Dewi
I-Com: Indonesian Community Journal Vol 4 No 4 (2024): I-Com: Indonesian Community Journal (Desember 2024)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/icom.v4i4.5690

Pelatihan manajemen pemasaran dan sertifikasi produk pada UMKM Tahu “Sidodadi” Kediri dilakukan untuk meningkatkan daya saing produk di pasar yang semakin kompetitif. Pelatihan ini penting, karena sertifikasi produk dan manajemen pemasaran yang efektif dapat meningkatkan kepercayaan konsumen dan penjualan. Metode pelaksanaan mencakup persiapan kegiatan, pelaksanaan kegiatan, dan evaluasi kegiatan melalui kuesioner. Hasil kegiatan menunjukkan bahwa 33,8% peserta memiliki pengetahuan dan pemahaman sangat baik, 49,2% peserta menilai baik, dan 17% peserta menilai cukup baik. Kegiatan pelatihan tersebut berhasil memberikan pengetahuan dan keterampilan yang dibutuhkan oleh UMKM, sehingga dapat membantu dalam meningkatkan daya saing produk tahu “Sidodadi” di pasar lokal maupun nasional.

Perbaikan Postur Kerja Pegawai Lepas Perusahaan Provider Menggunakan Metode RULA Fais, Moh Ainul; Pratama, Ryan Adi; Kunhadi, Dedy; Sutejo, Bambang; Mohamad, Silvana; Prayogo, LM Fandy
Jurnal Industri dan Inovasi (INVASI) Vol 2, No 2 (2024): September
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64670/invasi.v2i1.9952

The modern era has made freelance workers a trend, freelance employees work individually from their workplace. Freelance employees provide the freedom to choose the work they want without being tied to a contract, but in practice, freelance workers are very unfulfilled, such as in the health sector and field facilities. PT. X, which is a well-known provider company in Indonesia, has problems with employees who often experience complaints such as body aches, sprains and minor injuries after work. Improving work posture is very necessary to help freelance employees feel comfortable working, so it is necessary to analyze work posture using the Rapid Upper Limb Assessment (RULA) method. The research results show that action level 4 is obtained which requires the company to immediately carry out inspections and changes (right now). The proposed improvement in this research is that there is a need to improve work methods or systems (SOP) when carrying out the cable planting fireplace process and provide complete work facilities.

Finance Loan Risk Assessment Using Machine Learning for Credit Eligibility Prediction and Model Optimization Mulyanto, Sigit; Yonia, Dwika Lovitasari; Sutejo, Bambang
IJISTECH (International Journal of Information System and Technology) Vol 8, No 5 (2025): The February edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i5.376

Finance loans play a crucial role in the global economy, supporting individuals and businesses in accessing capital for investment and financial stability. However, more than 60% of financial institutions struggle with identifying credit risks due to the limitations of traditional assessment models, which fail to capture complex borrower behavior. Additionally, 75% of financial firms have adopted AI-driven credit risk management, yet challenges remain in model validation and decision-making transparency. This study applies machine learning techniques, including Logistic Regression, Decision Tree, Random Forest, and Support Vector Machine (SVM), to enhance loan eligibility prediction. The dataset underwent preprocessing, including handling missing values, feature engineering, and data standardization. Model evaluation used accuracy, precision, recall, and F1-score. Logistic Regression achieved the highest F1-score at 88.6% and recall at 98.6%, while Random Forest recorded the highest precision at 82.3%. Feature importance analysis identified Credit History as the most influential factor, followed by Loan Amount and Total Income. While machine learning improves loan risk assessment, challenges remain in model interpretability. Future research should integrate explainable AI (XAI) and alternative credit scoring factors to enhance model transparency and robustness in real-world applications

Finance Loan Risk Assessment Using Machine Learning for Credit Eligibility Prediction and Model Optimization Mulyanto, Sigit; Yonia, Dwika Lovitasari; Sutejo, Bambang
IJISTECH (International Journal of Information System and Technology) Vol 8, No 5 (2025): The February edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i5.376

Finance loans play a crucial role in the global economy, supporting individuals and businesses in accessing capital for investment and financial stability. However, more than 60% of financial institutions struggle with identifying credit risks due to the limitations of traditional assessment models, which fail to capture complex borrower behavior. Additionally, 75% of financial firms have adopted AI-driven credit risk management, yet challenges remain in model validation and decision-making transparency. This study applies machine learning techniques, including Logistic Regression, Decision Tree, Random Forest, and Support Vector Machine (SVM), to enhance loan eligibility prediction. The dataset underwent preprocessing, including handling missing values, feature engineering, and data standardization. Model evaluation used accuracy, precision, recall, and F1-score. Logistic Regression achieved the highest F1-score at 88.6% and recall at 98.6%, while Random Forest recorded the highest precision at 82.3%. Feature importance analysis identified Credit History as the most influential factor, followed by Loan Amount and Total Income. While machine learning improves loan risk assessment, challenges remain in model interpretability. Future research should integrate explainable AI (XAI) and alternative credit scoring factors to enhance model transparency and robustness in real-world applications

Examining the Influence of Brand Image and Brand Trust on Customer Satisfaction and Loyalty: A Study on Wardah Cosmetics Luthfitawati, Rosaliana; Sutejo, Bambang
Golden Ratio of Marketing and Applied Psychology of Business Vol. 6 No. 1 (2026): July - January
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grmapb.v6i1.1323

This study is about the impact of brand image and trust on customer satisfaction, and the influence of customer satisfaction on customer loyalty, which is important to maintain the competitiveness of beauty products such as Wardah, especially among garment workers. Data were gathered via questionnaires with 62 respondents, selected using the Roscoe Theory and purposive sampling. The questionnaires in the form are the primary data source in the study. This research uses a quantitative approach, testing SPSS 25 for all answers to the research sample. The findings indicate that brand image and brand trust have a positive and significant effect on customer satisfaction. Customer satisfaction has a positive and significant effect on customer loyalty. Overall, this study strengthens the understanding of how brand image and trust influence customer satisfaction, increasing customer loyalty towards Wardah products. This finding has contributed to understanding an effective marketing strategy for building satisfaction and customer loyalty in the cosmetic industry.

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