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All Journal Bandung Conference Series: Industrial Engineering Science
Dewi Shofi Mulyati
Prodi Teknik Industri, Fakultas Teknik, Universitas Islam Bandung, Indonesia
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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Sistem Kinerja Berbasis OKR & Business Intelligence Dashboard Fadli Naufal Machmud; Otong Rukmana; Dewi Shofi Mulyati
Bandung Conference Series: Industrial Engineering Science 537-544
Publisher : UNISBA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/bcsies.v6i2.24890

Abstract

Abstract. PT Inovasi Mandiri Pratama is a mapping and geospatial services company facing constraints such as an unstructured performance measurement system, a high absenteeism rate (9.5%), and a competency mismatch of 38%. This study aims to design an employee performance measurement system based on Objectives and Key Results (OKR) integrated with a Business Intelligence (BI) Dashboard. This study used a quantitative descriptive method. Primary data collection was conducted through questionnaires and interviews, while secondary data was obtained from company documentation. The system design was carried out through the identification of Spencer Competencies, the preparation of Key Performance Indicators (KPI), OKR cascading, and dashboard visualization on Looker Studio. The results showed that 16 out of 20 generic Spencer competencies were identified as relevant, with the Concern for Order competency having the highest urgency. Performance measurement resulted in a variation in employee OKR achievement scores in the range of 0.09 to 0.94. The achievement results are visualized through a BI Dashboard to facilitate management in monitoring actual performance. This research provides managerial implications in the form of an integrated framework between competencies, KPIs, and OKRs embodied in a dashboard information system for more objective decision making. Abstrak. PT Inovasi Mandiri Pratama merupakan perusahaan jasa pemetaan dan geospasial yang menghadapi kendala belum terstrukturnya sistem pengukuran kinerja, tingginya tingkat ketidakhadiran (9,5%), dan adanya mismatch kompetensi sebesar 38%. Penelitian ini bertujuan merancang sistem pengukuran kinerja karyawan berbasis Objectives and Key Results (OKR) yang terintegrasi dengan Dashboard Business Intelligence (BI). Penelitian ini menggunakan metode deskriptif kuantitatif. Pengumpulan data primer dilakukan melalui kuesioner dan wawancara, sedangkan data sekunder dari dokumentasi perusahaan. Perancangan sistem dilakukan melalui identifikasi Kompetensi Spencer, penyusunan Key Performance Indicators (KPI), cascading OKR, dan visualisasi dashboard pada Looker Studio. Hasil penelitian menunjukkan bahwa 16 dari 20 kompetensi generik Spencer teridentifikasi relevan, dengan kompetensi Concern for Order memiliki urgensi tertinggi. Pengukuran kinerja menghasilkan variasi skor capaian OKR karyawan pada rentang 0,09 hingga 0,94. Hasil pencapaian tersebut divisualisasikan melalui Dashboard BI untuk memfasilitasi pihak manajemen dalam memantau kinerja secara aktual. Penelitian ini memberikan implikasi manajerial berupa kerangka terintegrasi antara kompetensi, KPI, dan OKR yang diwujudkan dalam sistem informasi dasbor untuk pengambilan keputusan yang lebih objektif.
Perancangan Strategi Pemasaran Berbasis Analisis Sentimen Naive Bayes Firman Aji Utama; Ahmad Arif Nurrahman; Dewi Shofi Mulyati; Suliadi
Bandung Conference Series: Industrial Engineering Science 561-568
Publisher : UNISBA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/bcsies.v6i2.25756

Abstract

Abstract. Aquila Knives is a micro, small, and medium enterprise (MSME) engaged in the production and sale of kitchen knives, butcher knives, outdoor knives, and traditional Indonesian blades. In recent periods, the company experienced a 37% decline in sales, indicating the need to evaluate its marketing strategy based on customer perceptions. This study aims to analyze customer sentiment and develop a marketing strategy based on the analysis results. The dataset consists of 896 YouTube comments collected through web scraping. The analysis process includes text preprocessing, Term Frequency–Inverse Document Frequency (TF-IDF) weighting, sentiment classification using the Naïve Bayes algorithm, and Rule-Based Aspect Extraction based on Kotler’s product quality dimensions: Price, Feature, Reliability, Durability, Performance, Service, and Aesthetic. The results show that the Naïve Bayes model achieved an accuracy of 71.67%. The Performance aspect received the highest positive sentiment, while the Service aspect was dominated by negative sentiment, making it the highest priority for improvement. Based on these findings, a marketing strategy was developed using the Marketing Mix (4Ps) and translated into the 7 StoryBrand framework to support content marketing. The proposed approach provides a more targeted, customer-oriented marketing strategy with the potential to improve marketing effectiveness and increase Aquila Knives' sales. Abstrak. Aquila Knives merupakan usaha mikro, kecil, dan menengah (UMKM) yang bergerak di bidang produksi dan penjualan pisau, seperti pisau dapur, pisau jagal, pisau outdoor, dan senjata tradisional Indonesia. Dalam beberapa periode terakhir, perusahaan mengalami penurunan penjualan sebesar 37%, yang mengindikasikan perlunya evaluasi strategi pemasaran berdasarkan kebutuhan pelanggan. Penelitian ini bertujuan menganalisis sentimen pelanggan serta merancang strategi pemasaran berbasis hasil analisis tersebut. Data penelitian berupa 894 komentar YouTube yang diperoleh melalui web scraping. Tahapan analisis meliputi preprocessing, pembobotan kata menggunakan TF-IDF, klasifikasi sentimen dengan algoritma Naïve Bayes, serta Rule-Based Aspect Extraction berdasarkan aspek kualitas produk Kotler, yaitu Price, Feature, Reliability, Durability, Performance, Service, dan Aesthetic. Hasil penelitian menunjukkan bahwa Naïve Bayes menghasilkan akurasi sebesar 71,67%. Aspek Performance memperoleh sentimen positif tertinggi, sedangkan aspek Service didominasi sentimen negatif sehingga menjadi prioritas perbaikan. Berdasarkan hasil tersebut, disusun strategi pemasaran menggunakan Marketing Mix (4P) yang diterjemahkan ke dalam kerangka 7 Story Brand sebagai dasar content marketing. Hasil penelitian menunjukkan bahwa pendekatan ini menghasilkan strategi pemasaran yang lebih terarah, berbasis kebutuhan pelanggan, dan berpotensi meningkatkan efektivitas pemasaran serta penjualan Aquila Knives.
Usulan Perbaikan Pengendalian Kualitas untuk Mengurangi Cacat Produk di PT. Temaru Engineering Indonesia dengan Metode Six Sigma Fauzan Nugraha Gonzales; M Dzikron; Dewi Shofi Mulyati
Bandung Conference Series: Industrial Engineering Science 569-578
Publisher : UNISBA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/bcsies.v6i2.25878

Abstract

Abstract. The manufacturing industry regards production process quality as a critical factor alongside final product quality, as controlling work-in-process allows for the detection and rectification of defects before production is complete. Products failing to meet quality standards result in cost inefficiencies due to rework or scrap, while also negatively impacting the company's image and consumer trust. Driven by rising domestic demand, exports, and investment, the growth of Indonesia's manufacturing sector has heightened expectations for product quality. PT Temaru Engineering Indonesia (PT TEIN), a manufacturer of automotive components such as subscrews and bevel gears, faces challenges in maintaining product quality amidst increasing demand. Despite established quality standards, defects including cracks, holes, and rough surfaces persist, rendering products unfit for use and driving up production costs. This study employs the Six Sigma methodology using the DMAIC (Define, Measure, Analyze, Improve, and Control) approach. Six Sigma aims to reduce process variation and product defects through data-driven analysis, while DMAIC is utilized to identify issues, measure process performance, analyze root causes, design improvements, and maintain control over outcomes. The findings indicate that the quality of bevel gears and subscrews requires ongoing control and improvement. An analysis of defect rates using the Defects per Million Opportunities (DPMO) metric identified production processes and human resource factors as the primary sources of defects. Improvement efforts prioritize strengthening production processes and enhancing workforce communication and engagement, with a priority weight of 3.45. The control phase involves implementing consistent procedures to ensure sustained product quality and improve production process effectiveness. Abstrak. Industri manufaktur menempatkan kualitas proses produksi sebagai faktor penting selain kualitas produk akhir, karena pengendalian pada work in process memungkinkan deteksi dan perbaikan cacat sebelum produk selesai diproduksi. Produk yang tidak memenuhi standar kualitas menimbulkan pemborosan biaya akibat rework atau scrap, serta berdampak pada citra perusahaan dan kepercayaan konsumen. Pertumbuhan sektor manufaktur di Indonesia yang didorong oleh peningkatan permintaan domestik, ekspor, dan investasi menjadikan tuntutan terhadap kualitas produk semakin tinggi. PT Temaru Engineering Indonesia (PT TEIN), sebagai perusahaan manufaktur komponen otomotif seperti subscrew dan bevel gear, menghadapi tantangan dalam menjaga kualitas produk seiring meningkatnya permintaan. Meskipun perusahaan telah menetapkan standar kualitas, masih ditemukan kecacatan berupa retakan, lubang, dan permukaan kasar yang menyebabkan produk tidak layak digunakan serta meningkatkan biaya produksi. Penelitian ini menggunakan metode Six Sigma dengan pendekatan DMAIC (Define, Measure, Analyze, Improve, dan Control). Six Sigma bertujuan mengurangi variasi proses dan cacat produk berdasarkan data, sedangkan DMAIC digunakan untuk mengidentifikasi permasalahan, mengukur kinerja proses, menganalisis penyebab utama, merancang perbaikan, dan mengendalikan hasil secara berkelanjutan. Hasil penelitian menunjukkan bahwa kualitas produk bevel gear dan subscrew masih memerlukan pengendalian serta perbaikan berkelanjutan. Analisis tingkat kecacatan melalui perhitungan Defects per Million Opportunities (DPMO) mengidentifikasi bahwa penyebab utama cacat berasal dari proses produksi dan faktor sumber daya manusia. Prioritas perbaikan difokuskan pada penguatan proses produksi dan peningkatan komunikasi serta keterlibatan tenaga kerja dengan bobot prioritas 3,45. Tahap pengendalian dilakukan melalui penerapan prosedur yang konsisten untuk menjaga kualitas produk secara berkelanjutan dan meningkatkan efektivitas proses produksi.
Co-Authors Ahmad Arif Nurrahman Fadli Naufal Machmud Fauzan Nugraha Gonzales Firman Aji Utama M Dzikron Otong Rukmana Suliadi